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They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a1ecaac-284"},"title":"Global Leader, Applied AI Architects, Beneficial Deployments","description":"<p>As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as the primary technical partners to mission-driven organisations and non-profits adopting Claude. You&#39;ll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences.</p>\n<p>You&#39;ll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You&#39;ll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you&#39;ll be accountable for the team, processes, and cross-functional relationships that make that possible.</p>\n<p>In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you&#39;ll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You&#39;ll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences</li>\n</ul>\n<ul>\n<li>Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure</li>\n</ul>\n<ul>\n<li>Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence</li>\n</ul>\n<ul>\n<li>Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships</li>\n</ul>\n<ul>\n<li>Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously</li>\n</ul>\n<ul>\n<li>Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves</li>\n</ul>\n<ul>\n<li>Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations</li>\n</ul>\n<ul>\n<li>Travel to partner sites globally for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic</li>\n</ul>\n<ul>\n<li>Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments</li>\n</ul>\n<ul>\n<li>7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally</li>\n</ul>\n<ul>\n<li>Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; 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Reinforcement Learning Environments data verticals, with a focus on Computer Using Agent (CUA) data.</p>\n<p>In this role, you&#39;ll oversee the product roadmap for your data vertical, owning &#39;data as a product&#39;, pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.</p>\n<p>You&#39;ll work directly with Scale&#39;s most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps.</p>\n<p>The ideal candidate brings together a strong entrepreneurial &amp; go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the roadmap for the Agent &amp; RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.</li>\n</ul>\n<ul>\n<li>Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.</li>\n</ul>\n<ul>\n<li>Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.</li>\n</ul>\n<ul>\n<li>Scope out and scale the creation of RL environments that simulate real-world use cases.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.</li>\n</ul>\n<p>Ideally, You&#39;d Have:</p>\n<ul>\n<li>Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.</li>\n</ul>\n<ul>\n<li>6+ years of experience in product management or a customer-facing role.</li>\n</ul>\n<ul>\n<li>Technical fluency: Software engineering background (a degree in computer science or equivalent experience).</li>\n</ul>\n<ul>\n<li>Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation</li>\n</ul>\n<ul>\n<li>Strong customer intuition and the ability to translate technical requirements into impactful product decisions.</li>\n</ul>\n<ul>\n<li>Bias for action and comfort wearing multiple hats and operating in fast-moving environments.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3238a958-3d9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4609736005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["reinforcement learnings","simulation environments","data pipelines","model training","evaluation frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:37.306Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"reinforcement learnings, simulation environments, data pipelines, model training, evaluation frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_769c0070-5b2"},"title":"Research Scientist, Agent Robustness","description":"<p>As a Research Scientist working on Agent Robustness, you will work on the fundamental challenges of building AI agents that are safe and aligned with humans.</p>\n<p>For example, you might:</p>\n<ul>\n<li>Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;</li>\n<li>Design and build harnesses to test AI agents&#39; tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;</li>\n<li>Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;</li>\n<li>Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n<li>Practical experience conducting technical research collaboratively;</li>\n<li>Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;</li>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;</li>\n<li>Experience with red-teaming, prompt injection, or adversarial testing of AI systems.</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you&#39;re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn&#39;t perfectly align with every requirement.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_769c0070-5b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675684005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance","Practical experience conducting technical research collaboratively","Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches","A track record of published research in machine learning, particularly in generative AI","At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development"],"x-skills-preferred":["Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools","Experience with red-teaming, prompt injection, or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:57:29.447Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance, Practical experience conducting technical research collaboratively, Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches, A track record of published research in machine learning, particularly in generative AI, At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development, Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools, Experience with red-teaming, prompt injection, or adversarial testing of AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b5f056b-3e6"},"title":"Product Manager, Data Engine","description":"<p><strong>The Mission\\n\\nScale AI is leading the AI revolution, developing reliable AI applications for the world&#39;s most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers.\\n\\n## Job Description\\n\\nWe are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI.\\n\\n## Responsibilities\\n\\n- Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the &quot;ground truth&quot; foundation for building, evaluating, and deploying AI systems.\\n\\n- Bridge Custom &amp; Scale: Support diverse customer profiles,from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.\\n\\n- Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&amp;E).\\n\\n- Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.\\n\\n## Ideal Candidate\\n\\n- Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.\\n\\n- ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model,from data acquisition to Test &amp; Evaluation.\\n\\n- Grit: You possess a &quot;whatever-it-takes&quot; drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.\\n\\n- Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.\\n\\n## Benefits\\n\\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.\\n\\n## Salary Range\\n\\nThe base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $205,600-$257,000 USD\\n\\nThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $212,800-$266,000 USD\\n\\nThe base salary range for this full-time position in the location of St. Louis is: $177,600-$222,000 USD</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0b5f056b-3e6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4670064005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,600-$257,000 USD","x-skills-required":["Software Engineering","Field Engineering","Vision Systems","Computer Vision","ML Ops","System Architecture","APIs","Model Evaluation Frameworks"],"x-skills-preferred":["Security Clearance","Advanced Degree","Computer Vision Expertise"],"datePosted":"2026-04-18T15:57:14.290Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineering, Field Engineering, Vision Systems, Computer Vision, ML Ops, System Architecture, APIs, Model Evaluation Frameworks, Security Clearance, Advanced Degree, Computer Vision Expertise","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177600,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ccfb615-468"},"title":"Senior Machine Learning Engineer, Public Sector","description":"<p>We are seeking a Senior Machine Learning Engineer to join our Public Sector team. As a Senior Machine Learning Engineer, you will leverage techniques in generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale&#39;s products and customer experience in production environments.</p>\n<p>Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics</li>\n<li>Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines</li>\n<li>Working with massive datasets to develop both generic models as well as fine-tune models for specific products</li>\n<li>Building scalable machine learning infrastructure to automate and optimize our ML services</li>\n<li>Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations</li>\n</ul>\n<p>Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.</p>\n<p>Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1ccfb615-468","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4281519005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,300-$300,300 USD","x-skills-required":["computer vision","deep learning","deep reinforcement learning","natural language processing","algorithms","data structures","object-oriented programming","Python","TensorFlow","PyTorch"],"x-skills-preferred":["graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization","experience working with cloud platforms","familiarity with ML evaluation frameworks and agentic model design"],"datePosted":"2026-04-18T15:56:56.828Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer vision, deep learning, deep reinforcement learning, natural language processing, algorithms, data structures, object-oriented programming, Python, TensorFlow, PyTorch, graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, familiarity with ML evaluation frameworks and agentic model design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216300,"maxValue":300300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac82fe49-5bc"},"title":"Technical Deployment, Applied AI","description":"<p>As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.</p>\n<p>This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.</p>\n<p>You&#39;ll own engagements end-to-end, from SOW through production deployment. You&#39;ll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.</li>\n</ul>\n<ul>\n<li>Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.</li>\n</ul>\n<ul>\n<li>Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.</li>\n</ul>\n<ul>\n<li>Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.</li>\n</ul>\n<ul>\n<li>Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic&#39;s technical credibility with senior business and engineering leaders.</li>\n</ul>\n<ul>\n<li>Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.</li>\n</ul>\n<ul>\n<li>Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.</li>\n</ul>\n<ul>\n<li>Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</li>\n</ul>\n<ul>\n<li>Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.</li>\n</ul>\n<ul>\n<li>Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.</li>\n</ul>\n<ul>\n<li>Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).</li>\n</ul>\n<p>You May Be a Good Fit If You:</p>\n<ul>\n<li>Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.</li>\n</ul>\n<ul>\n<li>Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.</li>\n</ul>\n<ul>\n<li>Have experience in a specialised vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).</li>\n</ul>\n<ul>\n<li>Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won&#39;t write production code, but you will own the technical direction of engagements alongside FDEs.</li>\n</ul>\n<ul>\n<li>Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making , ideally across multiple workstreams in regulated industries.</li>\n</ul>\n<ul>\n<li>Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguity and bring structure where none exists.</li>\n</ul>\n<ul>\n<li>Have a builder&#39;s mindset , you&#39;re here to create a function, not join one.</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $200,000-$345,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ac82fe49-5bc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5017903008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$345,000 USD","x-skills-required":["AI","Machine Learning","Agentic Solutions","Enterprise Customers","Regulated Industries","Technical Playbooks","Solution Architecture","Customer Relationship Management","Value Measurement","ROI","Reusable Delivery Assets","Solution Patterns","Evaluation Frameworks","Enterprise and Regulatory Complexity","Security Reviews","Legal Approvals","Procurement Processes","Compliance Requirements","Organisational Dynamics","Scope and Change Management","Evolving Requirements","Contract Modifications","Risk Identification","Escalation","Delivery Operations","Sprint Ceremonies","Milestone Reviews","Progress Reporting","Travel to Customer Sites","Relationship Building","Delivery Acceleration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:48.402Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, TX; Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Agentic Solutions, Enterprise Customers, Regulated Industries, Technical Playbooks, Solution Architecture, Customer Relationship Management, Value Measurement, ROI, Reusable Delivery Assets, Solution Patterns, Evaluation Frameworks, Enterprise and Regulatory Complexity, Security Reviews, Legal Approvals, Procurement Processes, Compliance Requirements, Organisational Dynamics, Scope and Change Management, Evolving Requirements, Contract Modifications, Risk Identification, Escalation, Delivery Operations, Sprint Ceremonies, Milestone Reviews, Progress Reporting, Travel to Customer Sites, Relationship Building, Delivery Acceleration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":345000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_99943bd5-1ee"},"title":"Applied AI Engineer (Startups)","description":"<p>As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor helping the top AI-native startups build on the Claude Developer Platform as they grow from early product to scale.</p>\n<p>You&#39;ll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude,advising on implementation, agent design, and working alongside them to build at the frontier of AI.</p>\n<p>Working closely with Applied AI Architects, Account Executives, and Anthropic&#39;s Product and Engineering teams, you&#39;ll guide startups through deep technical engagements. You&#39;ll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI</li>\n</ul>\n<ul>\n<li>Work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development</li>\n</ul>\n<ul>\n<li>Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable startups to build and scale with Claude</li>\n</ul>\n<ul>\n<li>Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements</li>\n</ul>\n<ul>\n<li>Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team</li>\n</ul>\n<ul>\n<li>Create technical content for startup audiences including documentation, tutorials, and sample code</li>\n</ul>\n<ul>\n<li>Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events</li>\n</ul>\n<ul>\n<li>Travel to customer sites for workshops, implementation support, and relationship building</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder</li>\n</ul>\n<ul>\n<li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Experience with startups or high-growth companies</li>\n</ul>\n<ul>\n<li>Ability to context-switch across industries (healthcare, fintech, etc.) and use cases</li>\n</ul>\n<ul>\n<li>Builder credibility that earns trust with technical founders and engineering teams,you&#39;ve shipped products and can speak from experience</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans</li>\n</ul>\n<ul>\n<li>Experience facilitating technical workshops, hackathons, or developer-focused events</li>\n</ul>\n<ul>\n<li>Passion for making powerful technology safe and beneficial</li>\n</ul>\n<p>The annual compensation range for this role is $200,000-$320,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_99943bd5-1ee","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5073277008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$320,000 USD","x-skills-required":["Python","LLM-powered applications","Prompting","Context engineering","Agent architectures","Evaluation frameworks","Deployment at scale"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:04.865Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ced2159-802"},"title":"Research, Vision Expertise","description":"<p>Thinking Machines Lab is seeking a researcher to join their team in San Francisco. The successful candidate will work on advancing the science of visual perception and multimodal learning. They will design architectures that fuse pixels and text, build datasets and evaluation methods that test real-world comprehension, and develop representations that let models ground abstract concepts in the physical world.</p>\n<p>The ideal candidate will have expertise in multimodality and experience running large-scale experiments. They will be comfortable contributing to complex engineering systems and have a strong grasp of probability, statistics, and machine learning fundamentals.</p>\n<p>This is an evergreen role, meaning that the position is open on an ongoing basis. The company receives many applications, and there may not always be an immediate role that aligns perfectly with the candidate&#39;s experience and skills. However, they encourage candidates to apply and continuously review applications.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own research projects on training and performance analysis of multimodal AI models.</li>\n<li>Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities.</li>\n<li>Work with data infrastructure engineers, pretraining researchers and engineers, and product teams to create frontier multimodal models and the products that leverage them.</li>\n<li>Publish and present research that moves the entire community forward.</li>\n</ul>\n<p>Skills and Qualifications:</p>\n<ul>\n<li>Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.</li>\n<li>Understanding of machine learning fundamentals, large-scale training, and distributed compute environments.</li>\n<li>Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).</li>\n<li>Comfortable with debugging distributed training and writing code that scales.</li>\n<li>Bachelor&#39;s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.</li>\n</ul>\n<p>Preferred qualifications include research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design, experience developing evaluation frameworks for multimodal tasks, publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI, and a strong grasp of probability, statistics, and ML fundamentals.</p>\n<p>Logistics:</p>\n<ul>\n<li>Location: San Francisco, California.</li>\n<li>Compensation: $350,000 - $475,000 USD per year, depending on background, skills, and experience.</li>\n<li>Visa sponsorship: Yes.</li>\n<li>Benefits: Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4ced2159-802","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5002288008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD per year","x-skills-required":["Python","Deep learning framework (e.g., PyTorch, TensorFlow, or JAX)","Machine learning fundamentals","Large-scale training","Distributed compute environments"],"x-skills-preferred":["Visual reasoning","Spatial understanding","Multimodal architecture design","Evaluation frameworks for multimodal tasks","Vision-language modeling","Video understanding","Multimodal AI"],"datePosted":"2026-04-18T15:52:43.848Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Deep learning framework (e.g., PyTorch, TensorFlow, or JAX), Machine learning fundamentals, Large-scale training, Distributed compute environments, Visual reasoning, Spatial understanding, Multimodal architecture design, Evaluation frameworks for multimodal tasks, Vision-language modeling, Video understanding, Multimodal AI","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d400de24-26e"},"title":"Applied AI Engineer (Digital Natives Business)","description":"<p><strong>About the Role</strong></p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide a focused portfolio of customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n</ul>\n<ul>\n<li>Partner with account executives and solutions architects to translate customer business requirements into technical solutions</li>\n</ul>\n<ul>\n<li>Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites</li>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. 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As a key member of our engineering team, you will play a critical role in building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people. Your goal will be to deliver instant, accurate, and actionable insight.</p>\n<p>In this role, you will own the quality of results for two distinct but deeply connected &#39;users&#39;: the AI Agent and the Human User. You will optimize the retrieval layer that allows Large Language Models (LLMs) to reason over data they weren&#39;t trained on, ensuring they have the &#39;ground truth&#39; needed to synthesize accurate, high-stakes business actions. You will also improve the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.</p>\n<p>This is a challenging problem that requires balancing traditional keyword-based search with semantic vector search. You will fine-tune ranking models that satisfy both human readability and LLM-ready context. You will also connect the dots across structured SQL tables, unstructured docs, and real-time business metrics.</p>\n<p>If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let&#39;s talk.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_64a1ab9a-a79","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8439350002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Lucene/Elasticsearch","embeddings","ranking algorithms","evaluation frameworks","human-in-the-loop and LLM-based"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:47.340Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Lucene/Elasticsearch, embeddings, ranking algorithms, evaluation frameworks, human-in-the-loop and LLM-based"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a0355e9d-a71"},"title":"Research Lead, Training Insights","description":"<p>As a Research Lead on the Training Insights team, you&#39;ll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. This is a hands-on leadership role: you&#39;ll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same.</p>\n<p>Your work will span the full lifecycle of model development. You&#39;ll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop , both during production RL training and after. You&#39;ll also take a cross-organisational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage.</p>\n<p>This role carries significant visibility and impact. You&#39;ll help shape the evaluation narrative for model releases, contributing directly to how Anthropic communicates about its models to both internal and external audiences. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build new novel and long-horizon evaluations</li>\n<li>Develop novel measurement approaches for understanding how model capabilities emerge and evolve during RL training</li>\n<li>Lead strategic evaluation coverage across the company</li>\n<li>Shape the evaluation narrative for model releases</li>\n<li>Lead and mentor a small team of researchers and research engineers, setting research direction and fostering a culture of rigorous, creative research</li>\n<li>Design evaluation frameworks that balance scientific rigor with the practical demands of production training schedules</li>\n<li>Build and maintain relationships across Anthropic&#39;s research organisation to ensure evaluation insights inform training and deployment decisions</li>\n<li>Contribute to the broader research community through publications, open-source contributions, or external engagement on evaluation best practices</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have significant experience designing and running evaluations for large language models or similar complex ML systems</li>\n<li>Have led technical projects or teams, either formally or through sustained ownership of critical research directions</li>\n<li>Are equally comfortable designing experiments and writing code,you can move between research and implementation fluidly</li>\n<li>Think strategically about what to measure and why, not just how to measure it</li>\n<li>Can synthesise information across multiple teams and workstreams to form a coherent picture of model capabilities</li>\n<li>Communicate complex technical findings clearly to both technical and non-technical audiences</li>\n<li>Are results-oriented and thrive in fast-paced environments where priorities shift based on research findings</li>\n<li>Care deeply about AI safety and want your work to directly influence how capable AI systems are developed and deployed</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building evaluations for long-horizon or agentic tasks</li>\n<li>Deep familiarity with Reinforcement Learning training dynamics and how model behaviour changes during training</li>\n<li>Published research in machine learning evaluation, benchmarking, or related areas</li>\n<li>Experience with safety evaluation frameworks and red teaming methodologies</li>\n<li>Background in psychometrics, experimental psychology, or other measurement-focused disciplines</li>\n<li>A track record of communicating evaluation results to inform high-stakes decisions about model development or deployment</li>\n<li>Experience managing or mentoring researchers and engineers</li>\n</ul>\n<p>Representative projects:</p>\n<ul>\n<li>Designing and implementing a suite of long-horizon evaluations that test model capabilities on tasks requiring sustained reasoning, planning, and tool use over extended interactions</li>\n<li>Building systems to track capability development across RL training checkpoints, surfacing insights about when and how specific capabilities emerge</li>\n<li>Conducting a cross-org audit of evaluation coverage, identifying blind spots, and prioritising new evaluations to fill critical gaps across Pretraining, RL, Inference, and Product</li>\n<li>Developing the evaluation methodology and narrative for a major model release, working with research leads and communications to clearly characterise model capabilities and limitations</li>\n<li>Researching and prototyping novel evaluation approaches for capabilities that are difficult to measure with existing benchmarks</li>\n<li>Leading a team effort to build reusable evaluation infrastructure that serves multiple teams across the research organisation</li>\n</ul>\n<p>The annual compensation range for this role is $850,000.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a0355e9d-a71","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5139654008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$850,000-$850,000","x-skills-required":["AI","Machine Learning","Reinforcement Learning","Evaluation Methodologies","Research Leadership","Team Management","Communication","Results-Oriented","Fast-Paced Environments"],"x-skills-preferred":["Long-Horizon Evaluations","Agentic Tasks","Safety Evaluation Frameworks","Red Teaming Methodologies","Psychometrics","Experimental Psychology","Measurement-Focused 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We move fast, think boldly, and empower you to do the best work of your life. As a Senior Product Manager, Context Engineering, you&#39;ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins.</p>\n<p>With tools that amplify your impact and a culture that backs your ambition, you won&#39;t just contribute. You&#39;ll make things happen–fast.</p>\n<p><strong>The Opportunity:</strong></p>\n<p>ZoomInfo built the industry&#39;s most sophisticated GTM data acquisition infrastructure. Now we&#39;re applying that same rigor to context engineering,the emerging discipline that determines whether AI systems deliver transformative value or incremental improvement.</p>\n<p>This role architects the context layer powering our AI intelligence across Copilot, GTM Studio, and MarketingOS. You&#39;ll transform how ZoomInfo&#39;s agentic workflows access, compress, and deliver precisely the right information at exactly the right moment.</p>\n<p>The impact is organization-wide: every AI interaction, every intelligent recommendation, every autonomous agent action depends on the context infrastructure you’ll build.</p>\n<p>We&#39;ve transitioned to AI-first product thinking company-wide. The context pipelines exist but remain nascent,creating a rare opportunity to define architectural patterns and platform standards that compound value across multiple product teams in the years to come.</p>\n<p><strong>What You&#39;ll Do:</strong></p>\n<p>Architect Context Acquisition Pipelines</p>\n<p>Design and optimize how ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and data producers. You&#39;ll balance retrieval quality against latency and cost constraints, implementing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while respecting token budgets.</p>\n<p>Own the Context Layer Platform</p>\n<p>Build infrastructure serving multiple product teams,Copilot, GTM Studio, MarketingOS,as internal customers. Establish API contracts, developer experience standards, and integration patterns that accelerate feature velocity.</p>\n<p>Maintain the delicate balance between providing flexible building blocks and opinionated solutions that encode best practices.</p>\n<p>Drive Quality Through Measurement</p>\n<p>Implement evaluation frameworks using RAGAS metrics and custom benchmarks. Monitor retrieval precision, context relevance, hallucination rates, and system performance in production.</p>\n<p>Translate quality signals into architectural improvements, working closely with ML engineers to iterate on embedding models, reranking strategies, and retrieval algorithms.</p>\n<p>Navigate Emerging Research</p>\n<p>Context engineering evolves weekly. You&#39;ll continuously evaluate innovations,GraphRAG for multi-hop reasoning, test-time compute scaling, multimodal retrieval, compression techniques,determining which advances warrant production investment versus which remain academic curiosities.</p>\n<p>Bring external best practices to ZoomInfo while contributing learnings back to the broader community.</p>\n<p>Orchestrate Cross-Functional Execution</p>\n<p>Translate between three distinct worlds: ML engineers optimizing retrieval algorithms, platform engineers building scalable infrastructure, and product teams shipping customer features.</p>\n<p>Establish communication cadences, prioritization frameworks, and decision-making processes that balance urgent requests against strategic platform development.</p>\n<p><strong>What You’ll Bring:</strong></p>\n<ul>\n<li>4-6 years of product management experience with 2+ years in ML/AI infrastructure</li>\n</ul>\n<ul>\n<li>Direct experience with production RAG systems, vector databases, or semantic search, context management</li>\n</ul>\n<ul>\n<li>Experience with graph databases (e.g. Neo4j)</li>\n</ul>\n<ul>\n<li>Track record building platform products serving multiple internal or external customers</li>\n</ul>\n<ul>\n<li>Familiarity with context compression, embedding models, and retrieval evaluation frameworks</li>\n</ul>\n<ul>\n<li>History of defining product vision in nascent technical domains where best practices are still emerging</li>\n</ul>\n<p><strong>Who You Are:</strong></p>\n<p>Technical Foundation</p>\n<p>Expert-level understanding of RAG system architecture,you can discuss embedding dimensionality trade-offs, vector database indexing strategies, and reranking approaches with depth.</p>\n<p>You&#39;ve built or significantly contributed to production retrieval systems, not just managed them at arm&#39;s length.</p>\n<p>Python and SQL proficiency enables you to review code, analyze retrieval issues, and prototype solutions for concept validation.</p>\n<p>Platform Product Mindset</p>\n<p>Experience building infrastructure products where internal engineering teams are your customers.</p>\n<p>You measure success through downstream product velocity improvements and developer satisfaction scores, not just uptime metrics.</p>\n<p>You understand platform economics,how each additional team using your infrastructure increases its value through shared learnings and amortized costs.</p>\n<p>Intellectual Velocity</p>\n<p>You read recent research papers from arXiv, ACL, NeurIPS.</p>\n<p>You prototype emerging techniques to understand their practical constraints.</p>\n<p>You maintain strong opinions weakly held, updating your architectural assumptions as evidence accumulates.</p>\n<p>The discipline moves too fast for static expertise,continuous learning is non-negotiable.</p>\n<p>Strategic Communication</p>\n<p>You translate between technical depth and business impact fluently.</p>\n<p>You can explain to executives why implementing GraphRAG takes 6 months but unlocks $10M in product capabilities.</p>\n<p>You can communicate to engineers why business constraints require shipping &#39;good enough&#39; 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Your primary responsibility will be to design and build infrastructure that enables researchers to rapidly iterate on reward signals. This includes tools for rubric development, human feedback data analysis, and reward robustness evaluation. You will also develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies. Additionally, you will create tooling that allows researchers to easily compare different reward methodologies and understand their effects. You will collaborate with researchers to translate science requirements into platform capabilities and optimize existing systems for performance, reliability, and ease of use.</p>\n<p>You will have the opportunity to contribute directly to research projects yourself and have a direct impact on our ability to scale reward development across domains. You will work closely with researchers and translate ambiguous requirements into well-scoped engineering projects.</p>\n<p>To be successful in this role, you should have prior research experience and be excited to work closely with researchers. You should have strong Python skills and experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms. You should be comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling.</p>\n<p>Strong candidates may also have experience with ML research, building internal tooling and platforms for ML researchers, data quality assessment and pipeline optimization, experiment tracking, evaluation frameworks, or MLOps tooling. 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9e4ad056-714","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5014500008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","LLMs","Prompt engineering","Agent development","Evaluation frameworks","Deployment at scale","Common LLM implementation patterns","Agent frameworks","Retrieval frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:36.610Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, Prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Common LLM implementation patterns, Agent frameworks, Retrieval frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dbbfbfe1-a44"},"title":"Global Leader, Applied AI Architects, Beneficial Deployments","description":"<p>As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as primary technical partners to mission-driven organisations and non-profits adopting Claude. 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Most of these teams are being built 0→1 right now: you&#39;ll be forming the team, defining the product, and shipping the first version in markets where no one has done this well yet. Where we&#39;re further along, products are already live with enterprise customers and growing fast.</p>\n<p>We&#39;re hiring Engineering Managers to lead the teams building Claude for Financial Services, Life Sciences, Healthcare, and Legal. 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Bonus if you&#39;ve studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.</p>\n<p>Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.</p>\n<p>Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.</p>\n<p>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1e7293b7-e75","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5111942008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000-$320,000 USD","x-skills-required":["Software Engineering","Forward Deployed Engineering","Technical Founding","Life Sciences","Biomedical Research","Scientific Computing","Genomics","Neuroscience","Drug Discovery","LLM-Powered Tools","Agent Architectures","Evaluation Frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:35:22.753Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineering, Forward Deployed Engineering, Technical Founding, Life Sciences, Biomedical Research, Scientific Computing, Genomics, Neuroscience, Drug Discovery, LLM-Powered Tools, Agent Architectures, Evaluation Frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bcf08781-1d2"},"title":"Applied AI Engineer (Digital Natives Business)","description":"<p><strong>About the Role</strong></p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide a focused portfolio of customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a specialist technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n</ul>\n<ul>\n<li>Partner with account executives and solutions architects to translate customer business requirements into technical solutions</li>\n</ul>\n<ul>\n<li>Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites</li>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python or TypeScript and experience building production applications</li>\n</ul>\n<ul>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n</ul>\n<ul>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits</li>\n</ul>\n<ul>\n<li>Optional equity donation matching</li>\n</ul>\n<ul>\n<li>Generous vacation and parental leave</li>\n</ul>\n<ul>\n<li>Flexible working hours</li>\n</ul>\n<ul>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>Visa Sponsorship</strong></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_bcf08781-1d2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5057647008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$320,000 USD","x-skills-required":["LLMs","prompt engineering","agent development and frameworks","evaluation frameworks","transcript analysis","MCP","deployment at scale","Python","TypeScript","production applications"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:35:13.981Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLMs, prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, deployment at scale, Python, TypeScript, production applications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c98aaf50-d56"},"title":"Training Program Manager, MUSV","description":"<p>Saronic Technologies is seeking a highly experienced maritime professional to lead the development, execution, and continuous improvement of the training pipeline supporting Marauder, our mid-sized autonomous surface vessel (MUSV).</p>\n<p>In this critical role, you will own the qualification and readiness of MUSV-specific Mission Operations personnel by designing and managing a comprehensive training program that produces safe, proficient operators capable of conducting autonomous vessel missions in dynamic maritime environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, implement, and manage the end-to-end training and certification pipeline for MUSV operations and support personnel.</li>\n<li>Establish operator qualification standards, progression tracks, and currency requirements.</li>\n<li>Develop scalable training throughput plans aligned with operational growth.</li>\n<li>Maintain centralized training records, certification status, and personnel readiness tracking.</li>\n<li>Standardize training processes across test, development, and operational deployments.</li>\n</ul>\n<p>Curriculum Development &amp; Instruction:</p>\n<ul>\n<li>Develop structured training curriculum covering MUSV vessel systems and propulsion, remote operations and autonomy supervision, navigation, COLREGS, and maritime risk management, emergency response and casualty control, mission planning, execution, and post-mission analysis, regulatory compliance and operational documentation.</li>\n<li>Build blended training approaches including classroom instruction, simulator training, tabletop exercises, and live vessel operations.</li>\n<li>Deliver advanced instruction and certification events for senior operators and mission leads.</li>\n<li>Create and maintain training manuals, SOPs, evaluation checklists, and operator handbooks.</li>\n</ul>\n<p>Operational Integration:</p>\n<ul>\n<li>Translate real-world mission lessons learned into updated training materials and standards.</li>\n<li>Participate in sea trials, autonomy testing, and operational deployments to remain current on platform capabilities.</li>\n<li>Collaborate with engineering and autonomy teams to incorporate new systems, software releases, and operational changes into training.</li>\n<li>Support development of training scenarios that reflect realistic operational risks and mission profiles.</li>\n</ul>\n<p>Safety, Compliance &amp; Certification:</p>\n<ul>\n<li>Embed maritime safety culture and risk management principles throughout all training phases.</li>\n<li>Ensure training programs align with applicable USCG, SOLAS, IMO, and Class expectations where applicable.</li>\n<li>Validate operator readiness through formal evaluation events, check rides, and scenario-based assessments.</li>\n<li>Maintain documentation supporting inspections, audits, and operational readiness reviews.</li>\n</ul>\n<p>Evaluation &amp; Readiness Metrics:</p>\n<ul>\n<li>Develop measurable operator performance standards and evaluation frameworks.</li>\n<li>Conduct operator proficiency assessments and remediation planning.</li>\n<li>Track training outcomes, qualification status, and pipeline health.</li>\n<li>Provide leadership with readiness reports and training effectiveness metrics.</li>\n</ul>\n<p>External Coordination &amp; Maritime Integration:</p>\n<ul>\n<li>Coordinate training-related interactions with port authorities, pilot associations, and regulatory stakeholders when required.</li>\n<li>Develop onboarding and certification programs for external operators or customer personnel.</li>\n<li>Support government and partner training engagements as part of operational programs.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Extensive experience in a senior officer or command role in dynamic maritime environments.</li>\n<li>Demonstrated ability to mentor, instruct, or develop operational personnel.</li>\n<li>Strong knowledge of ship handling, voyage planning, marine navigation, port operations, and COLREGS.</li>\n<li>Deep understanding of maritime safety, shipboard emergency procedures, and regulatory compliance.</li>\n<li>Experience developing SOPs, procedures, or structured operational documentation.</li>\n<li>Proficiency with voyage planning tools, GIS software, and maritime navigation systems.</li>\n<li>Strong analytical and decision-making skills in complex operational scenarios.</li>\n<li>Ability to support field operations, travel, and extended sea trials when required.</li>\n<li>Must pass background check and USCG/DOT drug testing.</li>\n<li>Security clearance eligibility preferred.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Valid U.S. Coast Guard 500/1600T Master License of Self-propelled Vessels Upon Oceans. Unlimited Master’s license desired.</li>\n<li>STCW Basic Training, GMDSS Operator, OICNW, Medical PIC, FCC License.</li>\n<li>Valid TWIC, USCG STCW Medical Certificate, and passport.</li>\n<li>Bachelor’s Degree in Maritime Studies or similar field.</li>\n<li>Prior experience developing or managing formal training programs.</li>\n<li>Instructor certification or simulator training experience, including but not limited to Qualified Instructor, Qualified Assessor, and/or Designated Examiner</li>\n<li>Familiarity with autonomous or unmanned maritime systems.</li>\n<li>Experience supporting DoD or government maritime programs.</li>\n<li>Experience developing evaluation frameworks or operational certification programs.</li>\n<li>Familiarity with jet-drive vessel maneuvering characteristics.</li>\n</ul>\n<p>Role Requirements:</p>\n<ul>\n<li>Demonstrated success in maritime command or senior operational leadership roles.</li>\n<li>Strong organizational and program management skills.</li>\n<li>Ability to manage multiple training tracks simultaneously in a fast-paced development environment.</li>\n<li>Excellent communication skills across engineering, operations, and leadership teams.</li>\n<li>Ability to translate complex technical systems into clear operational instruction.</li>\n<li>Up to 50% travel; rotational field presence supporting sea trials and training events.</li>\n</ul>\n<p>Physical Demands:</p>\n<ul>\n<li>Must be capable of participating in live vessel training operations, shipyard activities, and field exercises in maritime environments.</li>\n<li>Ability to certify as “fit for work” by demonstrating ability to swim and tread water</li>\n<li>Frequently and repetitively, lift, push and carry up to 50 lbs.</li>\n<li>Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods</li>\n<li>Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues</li>\n<li>Ability to perform physically demanding work i.e. stoop, lay, bend, reach, squat, kneel, crouch, twist and crawl for extended periods of time including up to 12 hours/day</li>\n<li>Climb and maintain balance on ladders, platforms, or other high structures</li>\n<li>Ability to stand and walk for up to 10 hours a day, including over varied and uneven terrain</li>\n<li>Climb and maintain balance on ladders, scaffolding or other high structures</li>\n<li>Ability to work in a hot and humid environment and follow safe practices to stay hydrated</li>\n<li>Hearing ability sufficient to detect alarms, verbal instructions, and workplace hazards in a high-noise environment.</li>\n<li>Must be able</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c98aaf50-d56","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Saronic Technologies","sameAs":"https://www.saronictechnologies.com/","logo":"https://logos.yubhub.co/saronictechnologies.com.png"},"x-apply-url":"https://jobs.lever.co/saronic/4a875051-3337-41d5-9749-eb40fd38f2db","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Maritime command experience","Ability to mentor, instruct, or develop operational personnel","Strong knowledge of ship handling, voyage planning, marine navigation, port operations, and COLREGS","Deep understanding of maritime safety, shipboard emergency procedures, and regulatory compliance","Experience developing SOPs, procedures, or structured operational documentation","Proficiency with voyage planning tools, GIS software, and maritime navigation systems","Strong analytical and decision-making skills in complex operational scenarios","Ability to support field operations, travel, and extended sea trials when required"],"x-skills-preferred":["Valid U.S. Coast Guard 500/1600T Master License of Self-propelled Vessels Upon Oceans","STCW Basic Training, GMDSS Operator, OICNW, Medical PIC, FCC License","Valid TWIC, USCG STCW Medical Certificate, and passport","Bachelor’s Degree in Maritime Studies or similar field","Prior experience developing or managing formal training programs","Instructor certification or simulator training experience","Familiarity with autonomous or unmanned maritime systems","Experience supporting DoD or government maritime programs","Experience developing evaluation frameworks or operational certification programs","Familiarity with jet-drive vessel maneuvering characteristics"],"datePosted":"2026-04-17T12:58:43.866Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Virginia Beach"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Maritime command experience, Ability to mentor, instruct, or develop operational personnel, Strong knowledge of ship handling, voyage planning, marine navigation, port operations, and COLREGS, Deep understanding of maritime safety, shipboard emergency procedures, and regulatory compliance, Experience developing SOPs, procedures, or structured operational documentation, Proficiency with voyage planning tools, GIS software, and maritime navigation systems, Strong analytical and decision-making skills in complex operational scenarios, Ability to support field operations, travel, and extended sea trials when required, Valid U.S. Coast Guard 500/1600T Master License of Self-propelled Vessels Upon Oceans, STCW Basic Training, GMDSS Operator, OICNW, Medical PIC, FCC License, Valid TWIC, USCG STCW Medical Certificate, and passport, Bachelor’s Degree in Maritime Studies or similar field, Prior experience developing or managing formal training programs, Instructor certification or simulator training experience, Familiarity with autonomous or unmanned maritime systems, Experience supporting DoD or government maritime programs, Experience developing evaluation frameworks or operational certification programs, Familiarity with jet-drive vessel maneuvering characteristics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9cf6aba4-c34"},"title":"Senior Data Scientist - Data Foundations & AI","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>The Data Foundation &amp; AI team builds advanced ML/AI models and applications that enable product teams to deliver intelligence at scale. We design infrastructure and abstractions that make AI development faster, more reliable, and more impactful.</p>\n<p>As a Senior Data Scientist on the Data Foundation &amp; AI team at Plaid, you will define and operationalize quality measurement across our enrichment and AI systems, ensuring our products deliver reliable, high-impact outcomes for customers. You&#39;ll own and evolve evaluation frameworks, investigate customer-facing quality issues, and build automation to accelerate iteration and improvement cycles.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Defining quality metrics that shape product direction</li>\n<li>Turning ambiguous customer complaints into structured investigations</li>\n<li>Building evaluation systems that scale</li>\n<li>Measuring AI system effectiveness in a principled way</li>\n<li>Automating workflows using modern AI tools</li>\n<li>Influencing roadmap decisions through data</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>5+ years of experience in data science or analytics roles</li>\n<li>Experience defining evaluation and metrics frameworks</li>\n<li>Strong SQL and Python skills</li>\n<li>Experience investigating ambiguous problems end-to-end</li>\n<li>Ability to operate independently and influence stakeholders</li>\n<li>Clear communication of trade-offs and insights</li>\n<li>Experience evaluating AI or ML systems is a plus</li>\n<li>Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9cf6aba4-c34","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/0512e257-f07a-481e-8496-d2f86e6caf1a","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,800-286,800 per year","x-skills-required":["data science","AI","machine learning","Python","SQL","evaluation frameworks","quality metrics"],"x-skills-preferred":["investigating ambiguous problems","automating workflows","collaborative environment"],"datePosted":"2026-04-17T12:52:17.338Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"data science, AI, machine learning, Python, SQL, evaluation frameworks, quality metrics, investigating ambiguous problems, automating workflows, collaborative environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190800,"maxValue":286800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f6fed50-cc0"},"title":"Applied AI, AI Engineer","description":"<p>About the Job</p>\n<p>We are seeking an Applied AI, AI Engineer to join our customer-facing technical organization. As a member of our team, you will work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.</p>\n<p>Your primary responsibility will be to identify high-value internal use cases across engineering, legal, HR, sales, and operations, and build or vibe code end-to-end LLM applications. You will own the full lifecycle of these applications, from prototype to production, maintenance, and iteration.</p>\n<p>In addition to your technical skills, you will also be responsible for documenting learnings and sharing insights with product and research teams, and converting successful internal tools into customer demos or case studies where appropriate.</p>\n<p>How We Work in Applied AI</p>\n<p>We care about people and outputs. What matters is what you ship, not the time you spend on it. Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. Always ask why. The best solutions come from deep understanding, not from copying what worked before. We say what we mean. Feedback is direct, timely, and given because we care. No politics. Low ego, high standards. We embrace an unstructured environment and find joy in it.</p>\n<p>About You</p>\n<p>You are fluent in English and have 3+ years of experience building production software, with meaningful experience deploying LLM applications. You have a bias toward shipping, preferring a working prototype over a perfect specification. You possess strong technical coding skills in Python and front-end skills with React Frameworks. You are comfortable working autonomously across teams with different needs and constraints, and have strong communication skills to bridge non-technical teams and AI capabilities.</p>\n<p>Ideally, you have contributions to open-source evaluation frameworks or published research on LLM evaluation, experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager, and experience with ML frameworks (PyTorch, HuggingFace Transformers).</p>\n<p>Benefits</p>\n<p>PTO: The CDI contract will be a &#39;Forfait 218 jours&#39;, corresponding to 25 days of holidays and on average 8 to 10 days of RTT days, and complete autonomy on working hours.</p>\n<p>Health: Full health insurance coverage for you and your family.</p>\n<p>Transportation: We offer a €600 annual mobility allowance, covering 50% of your public transportation costs and including the Sustainable Mobility Allowance (FMD), encouraging eco-friendly travel options such as cycling or carpooling.</p>\n<p>Food: Swile meal vouchers with 10,83€ per worked day, including 60% offered by the company.</p>\n<p>Sport: Gymlib - sponsorship by Mistral of a significant part of the monthly fee (depending on the program you chose).</p>\n<p>Parental policy: 4 additional weeks for parents on top of what is offered by the French state.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9f6fed50-cc0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai","logo":"https://logos.yubhub.co/mistral.ai.png"},"x-apply-url":"https://jobs.lever.co/mistral/3d9a6ece-1f8c-4e0b-a275-fde6300ed1f8","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","React Frameworks","LLM applications","PyTorch","HuggingFace Transformers"],"x-skills-preferred":["Open-source evaluation frameworks","Published research on LLM evaluation","Customer Engineer","Forward Deployed Engineer","Sales Engineer","Solutions Architect","Technical Product Manager"],"datePosted":"2026-04-17T12:46:55.240Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, React Frameworks, LLM applications, PyTorch, HuggingFace Transformers, Open-source evaluation frameworks, Published research on LLM evaluation, Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, Technical Product Manager"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c7da135a-ebe"},"title":"Applied AI, Evaluation Engineer","description":"<p>About the Job</p>\n<p>The Applied AI team is Mistral&#39;s customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.</p>\n<p>As a first Evaluation Engineer, you&#39;ll design the methodology, build the infrastructure, and define what &#39;ready for production&#39; means across verticals and use cases. You will design and implement evaluation systems that help our customers understand model performance across their specific use cases, build robust evaluation infrastructure, and work closely with both research and customer-facing teams.</p>\n<p>Research builds evals for frontier capabilities but customers don&#39;t care about MMLU scores. We need in Applied AI evals and frameworks for customer reality domain-specific, risk-aware, production-grade. The kind that tell you whether your medical summarization model will hallucinate drug interactions, or whether your legal assistant will invent case citations.</p>\n<p>This role sits at the intersection of research, engineering, and solutions, you will play a critical cross role in measuring, understanding, and improving the capabilities of our models for our enterprise customers.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Design and implement comprehensive evaluation frameworks to measure LLM capabilities across diverse customer use cases, including text generation, reasoning, code, and domain-specific applications</p>\n</li>\n<li><p>Build scalable evaluation infrastructure and pipelines that enable rapid, reproducible assessment of model performance</p>\n</li>\n<li><p>Develop novel evaluation methodologies to assess emerging capabilities or verticalized use cases (cybersecurity, finance, healthcare, etc.) and enable the Solutions (Deployment Strategist and Applied AI) on these topics</p>\n</li>\n<li><p>Create custom evaluation suites tailored to enterprise customers&#39; specific needs, working closely with them to understand their requirements and success criteria</p>\n</li>\n<li><p>Collaborate with research teams to translate evaluation insights into model improvements and training decisions</p>\n</li>\n<li><p>Partner with product teams to continuously improve our evaluation tooling based on customer feedback</p>\n</li>\n</ul>\n<p>How We Work in Applied AI</p>\n<ul>\n<li><p>We care about people and outputs</p>\n</li>\n<li><p>What matters is what you ship, not the time you spend on it</p>\n</li>\n<li><p>Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to</p>\n</li>\n<li><p>The best idea wins, whether it comes from a principal engineer or someone in their first week</p>\n</li>\n<li><p>Always ask why. The best solutions come from deep understanding, not from copying what worked before</p>\n</li>\n<li><p>We say what we mean. Feedback is direct, timely, and given because we care</p>\n</li>\n<li><p>No politics. Low ego, high standards</p>\n</li>\n<li><p>We embrace an unstructured environment and find joy in it</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>You are fluent in English</p>\n</li>\n<li><p>3+ years of experience in ML evaluation, benchmarking for LLM or agentic systems</p>\n</li>\n<li><p>You have proven experience in AI or machine learning product implementation with APIs, back-end</p>\n</li>\n<li><p>You have deep understanding of concepts and algorithms underlying machine learning and LLMs</p>\n</li>\n<li><p>You have strong technical coding skills in Python</p>\n</li>\n<li><p>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences</p>\n</li>\n</ul>\n<p>Ideally You Have:</p>\n<ul>\n<li><p>Contributions to open-source evaluation frameworks (e.g., LM Eval Harness, OpenAI Evals) or published research on LLM evaluation</p>\n</li>\n<li><p>Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager</p>\n</li>\n<li><p>Experience with ML frameworks (PyTorch, HuggingFace Transformers)</p>\n</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li><p>PTO: The CDI contract will be a &#39;Forfait 218 jours&#39;, corresponding to 25 days of holidays and on average 8 to 10 days of RTT days, and complete autonomy on working hours</p>\n</li>\n<li><p>Health: Full health insurance coverage for you and your family</p>\n</li>\n<li><p>Transportation: We offer a €600 annual mobility allowance. 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This is not a research role. 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We are looking for a go-getter and strong communicator who is passionate about evaluating AI-driven tools and designing structured programs to help us scale.</p>\n<p><strong>What you will be doing:</strong></p>\n<ul>\n<li>Conduct workflow mapping of the B2B sales and renewal lifecycle to identify inefficiencies and manual bottlenecks.</li>\n<li>Research emerging AI-driven sales tools and help build structured evaluation frameworks comparing functional depth, security, and integration feasibility.</li>\n<li>Support &#39;build vs. buy&#39; analyses for automation initiatives and assist in defining pilot success metrics and operational impact.</li>\n<li>Participate in the active testing of shortlisted platforms and contribute to implementation roadmaps and rollout sequencing.</li>\n<li>Develop structured summaries, presentations, and implementation playbooks for leadership discussions and final recommendations.</li>\n</ul>\n<p><strong>What you should bring:</strong></p>\n<ul>\n<li>A 3.0 GPA or higher</li>\n<li>An interest in breaking down complex systems and a structured, logical approach to problem-solving.</li>\n<li>A comfort level with learning new software quickly and a genuine curiosity about AI, SaaS, fintech, or revenue operations.</li>\n<li>The ability to write clearly and concisely and translate data into executive-ready presentation materials.</li>\n<li>A proactive attitude toward contributing to high-impact initiatives beyond basic administrative tasks.</li>\n<li>Proficiency in Google Suite</li>\n</ul>\n<p><strong>Learning Opportunities:</strong></p>\n<ul>\n<li>Gain deep insight into how fintech companies sell into financial institutions.</li>\n<li>Learn how sales enablement directly improves ramp time, productivity, and quota attainment.</li>\n<li>Move beyond the hype to see how AI tools are evaluated and tested within real-world business workflows.</li>\n<li>Understand how Go-To-Market strategies are designed, operationalized, and scaled.</li>\n<li>Receive direct guidance from the Sales Enablement &amp; Operations Manager and gain exposure to senior Commercial leadership.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Who we are: It takes a special team to aim for a never-been-done-before mission like ours. We&#39;re looking for people who love working together because they know it makes us stronger, people who look to others and ask, &#39;How can I help?&#39; and then &#39;How can we make this even better?&#39; If you&#39;re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team.</p>\n<p>Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law. Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_62e17b1e-e69","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Greenlight Financial Technology","sameAs":"https://www.greenlight.com/","logo":"https://logos.yubhub.co/greenlight.com.png"},"x-apply-url":"https://jobs.lever.co/greenlight/a58c3bfd-f18d-4c08-bdd6-98416d8f9d74","x-work-arrangement":"Hybrid","x-experience-level":"Intern","x-job-type":"Internship","x-salary-range":null,"x-skills-required":["AI-driven sales tools","Structured evaluation frameworks","Workflow mapping","Google Suite","Revenue operations"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:36:33.703Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta"}},"employmentType":"INTERN","occupationalCategory":"Sales","industry":"Finance","skills":"AI-driven sales tools, Structured evaluation frameworks, Workflow mapping, Google Suite, Revenue operations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d63f049e-ad7"},"title":"Security Lead, Agentic Red Team","description":"<p>Job Title: Security Lead, Agentic Red Team</p>\n<p>We&#39;re a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the &#39;Agentic Launch Gap&#39;; the critical window where novel AI capabilities outpace traditional security reviews.</p>\n<p>As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.</li>\n<li>Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.</li>\n<li>Design Automated Validation Systems: Collaborate with Google teams to engineer &#39;Auto RedTeaming&#39; solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.</li>\n<li>Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.</li>\n<li>Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.</li>\n<li>Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.</li>\n</ul>\n<p>About You:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Information Security, or equivalent practical experience.</li>\n<li>Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.</li>\n<li>Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).</li>\n<li>Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.</li>\n<li>Experience managing or technically leading small, high-performance engineering teams.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).</li>\n<li>Familiarity with AI safety benchmarks and evaluation frameworks.</li>\n<li>Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.</li>\n<li>Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.</li>\n</ul>\n<p>The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d63f049e-ad7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7560787","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$248,000 - $349,000 + bonus + equity + benefits","x-skills-required":["Bachelor's degree in Computer Science, Information Security, or equivalent practical experience","Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning","Deep technical understanding of LLM architectures and agentic workflows","Proven ability to work in a consulting capacity with product teams","Experience managing or technically leading small, high-performance engineering teams"],"x-skills-preferred":["Hands-on experience developing exploits for GenAI models","Familiarity with AI safety benchmarks and evaluation frameworks","Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers","Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively"],"datePosted":"2026-03-16T14:41:55.843Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; 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Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ccdfdbc6-9b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7477025","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$141,000 USD - 244,000 USD + bonus + equity + benefits","x-skills-required":["Machine Learning","Computer Science","Software Engineering","Post-training techniques","RL","SFT","Preference optimisation","Evaluation frameworks","Simulation methods","Model quality","User behaviours","Feedback","Agent design","Tool orchestration","API integration","Hyper-personalisation"],"x-skills-preferred":["Modern post-training methods","LLMs","Personalisation","Memory","Agentic workflows"],"datePosted":"2026-03-16T14:40:12.333Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Computer Science, Software Engineering, Post-training techniques, RL, SFT, Preference optimisation, Evaluation frameworks, Simulation methods, Model quality, User behaviours, Feedback, Agent design, Tool orchestration, API integration, Hyper-personalisation, Modern post-training methods, LLMs, Personalisation, Memory, Agentic workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":141000,"maxValue":244000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f73f108d-30a"},"title":"Senior Security Engineer, Agentic Red Team","description":"<p>Job Title: Senior Security Engineer, Agentic Red Team</p>\n<p>We&#39;re a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence.</p>\n<p><strong>About Us</strong> The Agentic Red Team is a specialized, high-velocity unit within Google DeepMind Security. 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role</strong></p>\n<p>Financial services is one of the most consequential domains for AI—and one of the most demanding. Workflows are complex, data is sensitive, regulatory expectations are real, and the people using these tools are experts who will immediately know if something doesn&#39;t work. That&#39;s exactly the kind of challenge we&#39;re here for.</p>\n<p>Anthropic&#39;s Verticals team builds AI-powered products purpose-built for the industries where this complexity is highest. We&#39;re in early growth, moving fast, and earning the trust of enterprise customers who have seen a lot of vendors promise transformation and deliver demos. This role is about building something that actually changes how financial services teams work—and building the team that can do that sustainably.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and develop a team of engineers building AI-powered experiences in Excel and PowerPoint for financial services enterprise customers</li>\n</ul>\n<ul>\n<li>Own engineering execution end-to-end: project planning, prioritization, delivery quality, team health, and incident response</li>\n</ul>\n<ul>\n<li>Partner closely with sales and customer success teams on enterprise deals—understanding customer requirements, participating in key conversations, and translating what you learn into engineering priorities</li>\n</ul>\n<ul>\n<li>Work with product and design to shape the roadmap, not just execute against it; you&#39;ll have a meaningful voice in what we build and why</li>\n</ul>\n<ul>\n<li>Maintain operational reliability on top of third-party platforms (the Microsoft 365 ecosystem), and build the processes that make your team resilient when those dependencies behave unexpectedly</li>\n</ul>\n<ul>\n<li>Engage with research and evaluation frameworks—developing intuition for model behavior, understanding evals, and helping the team make sound tradeoffs between capability and reliability</li>\n</ul>\n<ul>\n<li>Drive compliance and regulatory initiatives relevant to your customers, including owning the internal engineering work required to meet them</li>\n</ul>\n<ul>\n<li>Recruit, onboard, and develop strong engineers; give direct feedback, grow careers, and build a team culture that earns the confidence of enterprise customers</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Are a skilled engineering manager who takes the craft of management seriously: clear feedback, strong 1:1s, hard conversations handled well, and consistent investment in your team&#39;s growth</li>\n</ul>\n<ul>\n<li>Have experience building products for or within financial services—you understand how these organizations work, what they care about, and why trust and reliability aren&#39;t negotiable</li>\n</ul>\n<ul>\n<li>Know how to operate in an enterprise sales environment; you&#39;re comfortable alongside sales and customer success teams and can hold your own in customer conversations</li>\n</ul>\n<ul>\n<li>Have shipped AI-powered products and developed a grounded, practical understanding of what it takes to make them reliable and useful in high-stakes contexts</li>\n</ul>\n<ul>\n<li>Are experienced with the operational realities of building on third-party platforms—you&#39;ve thought through degradation strategies, incident response, and the accountability gaps that come with dependencies you don&#39;t control</li>\n</ul>\n<ul>\n<li>Thrive in early-growth environments where the product is real but the playbook is still being written</li>\n</ul>\n<p><strong>Strong candidates may also have</strong></p>\n<ul>\n<li>Deep domain knowledge in financial services—investment banking, asset management, insurance, corporate finance, or similar—whether from working within these institutions or building products for them</li>\n</ul>\n<ul>\n<li>Direct experience with compliance frameworks relevant to financial services and healthcare, and a track record of owning or driving compliance initiatives within an engineering organization; familiarity with HIPAA is a meaningful differentiator</li>\n</ul>\n<ul>\n<li>Experience managing teams that use AI-assisted coding tools, and a considered perspective on what that means for code review, quality standards, and engineering norms</li>\n</ul>\n<ul>\n<li>Exposure to both product-led growth and direct enterprise sales motions, with an understanding of how engineering decisions interact differently with each</li>\n</ul>\n<ul>\n<li>Vendor management experience—negotiating with, evaluating, or operationalizing third-party technology providers</li>\n</ul>\n<ul>\n<li>Familiarity with model evaluation frameworks and how evals can inform product decisions, not just research ones</li>\n</ul>\n<p><strong>Representative projects</strong></p>\n<ul>\n<li>Partnering with an investment banking customer to understand their deal documentation workflow, then working with product to translate that into a concrete engineering roadmap</li>\n</ul>\n<ul>\n<li>Building an incident response and communication playbook for outages or degradation in Microsoft 365 integrations—and running the post-mortems that drive real improvements</li>\n</ul>\n<ul>\n<li>Owning a compliance initiative from scoping through delivery: working with legal and security, defining what engineering needs to build, and getting your team across the line</li>\n</ul>\n<ul>\n<li>Collaborating with a cross-functional team to develop a new AI-powered product feature, and working with stakeholders to ensure its successful launch</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_89cdc08d-657","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/jobs","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5140492008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Engineering management","AI-powered products","Excel and PowerPoint","Financial services","Enterprise sales","Compliance frameworks","HIPAA","AI-assisted coding tools","Model evaluation frameworks"],"x-skills-preferred":["Deep domain knowledge in financial services","Vendor management experience","Product-led growth","Direct enterprise sales motions"],"datePosted":"2026-03-08T14:01:54.763Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Engineering management, AI-powered products, Excel and PowerPoint, Financial services, Enterprise sales, Compliance frameworks, HIPAA, AI-assisted coding tools, Model evaluation frameworks, Deep domain knowledge in financial services, Vendor management experience, Product-led growth, Direct enterprise sales motions"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_98d7335f-4d4"},"title":"Applied AI Engineer","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n</ul>\n<ul>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n</ul>\n<ul>\n<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>\n</ul>\n<ul>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n</ul>\n<ul>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n</ul>\n<ul>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n</ul>\n<ul>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n</ul>\n<ul>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n</ul>\n<ul>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n</ul>\n<p><strong>Deadline to apply: None. Applications will be reviewed on a rolling basis.</strong></p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</strong></p>\n<p><strong>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</strong></p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_98d7335f-4d4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5055488008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Production experience with LLMs","Advanced prompt engineering","Agent development","Evaluation frameworks","Deployment at scale","Strong programming skills with proficiency in Python","Experience building production applications","Expertise working with common LLM implementation patterns","Prompt engineering","Evaluation frameworks","Agent frameworks","Retrieval frameworks"],"x-skills-preferred":["Intellectual openness","High cooperation mindset","Passion for advancing safe, beneficial AI systems","Exceptional communication skills"],"datePosted":"2026-03-08T13:59:34.314Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_74e83779-8ca"},"title":"Applied AI Engineer","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from technical discovery through successful deployment. You&#39;ll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</strong></p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as a technical advisor to Anthropic customers as they deploy new products &amp; workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success</li>\n<li>Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation</li>\n<li>Guide technical architecture decisions and help customers build state-of-the-art products &amp; workflows with LLMs via API</li>\n<li>Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API</li>\n<li>Lead hands-on technical workshops and code reviews with customer engineering teams</li>\n<li>Identify common design patterns and contribute insights back to our Product and Engineering teams</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks</li>\n<li>Travel occasionally to customer sites for workshops, implementation support, and building relationships</li>\n<li>Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale</li>\n<li>Strong programming skills with proficiency in Python and experience building production applications</li>\n<li>Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.</li>\n<li>Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications</li>\n<li>Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach</li>\n<li>Fluent in both Korean and English</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_74e83779-8ca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5014500008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Production experience with LLMs","Advanced prompt engineering","Agent development","Evaluation frameworks","Deployment at scale","Strong programming skills with proficiency in Python","Experience building production applications","Expertise working with common LLM implementation patterns","Prompt engineering","Evaluation frameworks","Agent frameworks","Retrieval frameworks"],"x-skills-preferred":["Intellectual openness","High cooperation mindset","Passion for advancing safe, beneficial AI systems","Exceptional communication skills","Fluent in both Korean and English"],"datePosted":"2026-03-08T13:57:43.523Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul, South Korea"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Production experience with LLMs, Advanced prompt engineering, Agent development, Evaluation frameworks, Deployment at scale, Strong programming skills with proficiency in Python, Experience building production applications, Expertise working with common LLM implementation patterns, Prompt engineering, Evaluation frameworks, Agent frameworks, Retrieval frameworks, Intellectual openness, High cooperation mindset, Passion for advancing safe, beneficial AI systems, Exceptional communication skills, Fluent in both Korean and English"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_297256fb-31a"},"title":"Applied AI Engineer, Beneficial Deployments","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About Beneficial Deployments</strong></p>\n<p>Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team. You&#39;ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more</li>\n<li>Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development</li>\n<li>Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP&#39;s, and Agent Skills</li>\n<li>Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research</li>\n<li>Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service</li>\n<li>Help shape team processes and culture as we scale from 1 to N</li>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have</strong></p>\n<ul>\n<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder</li>\n<li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li>\n<li>Builder credibility that earns trust with technical founders and engineering teams—you&#39;ve shipped products and can speak from experience</li>\n<li>Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints</li>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n<li>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this</li>\n</ul>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_297256fb-31a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5068226008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $300,000 USD","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical founder","LLM-powered applications","Prompting","Context engineering","Agent architectures","Evaluation frameworks","Deployment at scale","Ed-tech","Healthcare","Scientific research","Nonprofit","Mission-driven organisations","Public goods infrastructure","Benchmarks","MCP's","Agent Skills","Technical presentations","Demos","Scalable technical content","Documentation","Tutorials","Sample code"],"x-skills-preferred":["Pair programming","Prototyping","Code contributions","Team processes","Communication skills"],"datePosted":"2026-03-08T13:56:45.563Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical founder, LLM-powered applications, Prompting, Context engineering, Agent architectures, Evaluation frameworks, Deployment at scale, Ed-tech, Healthcare, Scientific research, Nonprofit, Mission-driven organisations, Public goods infrastructure, Benchmarks, MCP's, Agent Skills, Technical presentations, Demos, Scalable technical content, Documentation, Tutorials, Sample code, Pair programming, Prototyping, Code contributions, Team processes, Communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4b5aec44-56d"},"title":"Applied AI Engineer (Startups)","description":"<p>As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor helping the top AI-native startups build on the Claude Developer Platform as they grow from early product to scale. You&#39;ll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude—advising on implementation, agent design, and working alongside them to build at the frontier of AI.</p>\n<p>Working closely with Applied AI Architects, Account Executives, and Anthropic&#39;s Product and Engineering teams, you&#39;ll guide startups through deep technical engagements. You&#39;ll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.</p>\n<p>You will serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI. You will work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development.</p>\n<p>You will develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable startups to build and scale with Claude. You will collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements.</p>\n<p>You will identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team. You will create technical content for startup audiences including documentation, tutorials, and sample code. You will foster community engagement through hackathons, webinars, technical office hours, and startup-focused events.</p>\n<p>You will travel to customer sites for workshops, implementation support, and relationship building. You will be a builder credibility that earns trust with technical founders and engineering teams—you&#39;ve shipped products and can speak from experience.</p>\n<p>You will have strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans. You will have experience facilitating technical workshops, hackathons, or developer-focused events. You will have passion for making powerful technology safe and beneficial.</p>\n<p>The annual compensation range for this role is £225,000 - £240,000GBP.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4b5aec44-56d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5116274008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000 - £240,000GBP","x-skills-required":["AI engineering","Python","LLM-powered applications","agent architectures","evaluation frameworks","deployment at scale"],"x-skills-preferred":["pair programming","architecture reviews","code contributions","custom evaluation frameworks","scalable architectures","technical documentation","evaluation suites","AI engineering techniques","architecture diagrams"],"datePosted":"2026-03-08T13:56:14.802Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI engineering, Python, LLM-powered applications, agent architectures, evaluation frameworks, deployment at scale, pair programming, architecture reviews, code contributions, custom evaluation frameworks, scalable architectures, technical documentation, evaluation suites, AI engineering techniques, architecture diagrams","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_325895d8-540"},"title":"Applied AI Engineer, Life Sciences (Beneficial Deployments)","description":"<p><strong>About the Role:</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&amp;D through translation by an order of magnitude.</p>\n<p>You&#39;ll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn&#39;t consulting from the outside — you&#39;ll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude&#39;s usefulness across the broader life sciences community.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.</li>\n<li>Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.</li>\n<li>Identify what&#39;s actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.</li>\n<li>Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have:</strong></p>\n<ul>\n<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.</li>\n<li>Deep research experience in life sciences, biomedical research, or scientific computing. 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However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_325895d8-540","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5111942008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $320,000 USD","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical Founder","Life Sciences","Biomedical Research","Scientific Computing","Genomics","Neuroscience","Drug Discovery","LLM-powered tools","Prompting","Context Engineering","Agent Architectures","Evaluation Frameworks"],"x-skills-preferred":["Builder Credibility","Scrappy Mentality","Production Code","Shipping Systems","Real Users"],"datePosted":"2026-03-08T13:56:01.188Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical Founder, Life Sciences, Biomedical Research, Scientific Computing, Genomics, Neuroscience, Drug Discovery, LLM-powered tools, Prompting, Context Engineering, Agent Architectures, Evaluation Frameworks, Builder Credibility, Scrappy Mentality, Production Code, Shipping Systems, Real Users","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ecc4ede4-8ad"},"title":"Solutions Architect, Applied AI (Startups)","description":"<p><strong>About the role</strong></p>\n<p>As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You&#39;ll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.</p>\n<p>Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you&#39;ll guide startups from initial technical discovery through successful deployment and beyond. You&#39;ll leverage your expertise to help founders understand Claude&#39;s capabilities, develop evals, and design architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion</li>\n<li>Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions</li>\n<li>Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams</li>\n<li>Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales</li>\n<li>Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies</li>\n<li>Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams</li>\n<li>Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation</li>\n<li>Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures</li>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams</li>\n<li>Track record of selling technical products in competitive markets</li>\n<li>Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns</li>\n<li>Passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing the state of the art in AI and making a positive impact on society.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ecc4ede4-8ad","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4968059008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£150,000 - £170,000GBP","x-skills-required":["Python","LLM frameworks","AI engineering best practices","Context engineering","Evaluation frameworks","Modern AI architectures"],"x-skills-preferred":["Sales Engineer","Forward Deployed Engineer","Technical founder","Software engineer","Technical founder-led sales"],"datePosted":"2026-03-08T13:52:25.221Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM frameworks, AI engineering best practices, Context engineering, Evaluation frameworks, Modern AI architectures, Sales Engineer, Forward Deployed Engineer, Technical founder, Software engineer, Technical founder-led sales","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9a4d5749-9f5"},"title":"Solutions Architect, Applied AI","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the role</strong></p>\n<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Act as a primary technical advisor to enterprise customers throughout their adoption journey, from discovery to initial evaluation, and through deployment. You will ensure internal coordination between multiple teams and stakeholders to ensure customer success</li>\n</ul>\n<ul>\n<li>Assist customers developing projects with the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and disseminate compelling technical content tailored to various audiences. You will be able to go from in-depth technical explanations for development teams to value-focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology infrastructure</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance in their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and bring perspectives to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Occasionally visit customer sites for workshops, technical deep dives, and relationship-building</li>\n</ul>\n<ul>\n<li>Maintain a deep understanding of the latest developments in LLM capabilities and deployment models</li>\n</ul>\n<p><strong>Profile sought:</strong></p>\n<ul>\n<li>More than 5 years of experience in technical customer-facing roles, such as Solutions Architect, Technical Sales Engineer, or Account Technical Manager</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, in complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with diverse stakeholders and communicate technical concepts, including senior executives, IT teams, and engineering teams</li>\n</ul>\n<ul>\n<li>Strong technical communication skills, with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience with designing cloud-native, scalable architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Proficient in Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Enthusiasm for participating in inter-organizational collaboration, finding compromises, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Love of teaching, mentoring, and customer success</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complex topics in easily understandable terms to a diverse range of external and internal stakeholders</li>\n</ul>\n<ul>\n<li>Passion for creative thinking on how to use technology safely and beneficially, ultimately advancing the development of safe AI systems</li>\n</ul>\n<p><strong>Deadline for applications:</strong></p>\n<p>No deadline. Applications will be reviewed on a rolling basis.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9a4d5749-9f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4977626008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Solutions Architect","Technical Sales Engineer","Account Technical Manager","Python","Cloud-Native","Scalable Architectures","Enterprise Systems","LLM Frameworks","Machine Learning","Data Science"],"x-skills-preferred":["Technical Communication","Customer Requirements","Technical Implementation","Business Objectives","Evaluation Frameworks","Integration Patterns","Technical Architecture","Cloud-Native","Scalable Architectures","Enterprise Systems","LLM Frameworks","Machine Learning","Data Science"],"datePosted":"2026-03-08T13:49:38.995Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Solutions Architect, Technical Sales Engineer, Account Technical Manager, Python, Cloud-Native, Scalable Architectures, Enterprise Systems, LLM Frameworks, Machine Learning, Data Science, Technical Communication, Customer Requirements, Technical Implementation, Business Objectives, Evaluation Frameworks, Integration Patterns, Technical Architecture, Cloud-Native, Scalable Architectures, Enterprise Systems, LLM Frameworks, Machine Learning, Data Science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dfdafef2-893"},"title":"Model Quality Software Engineer, Claude Code","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>We&#39;re looking for a Software Engineer to work at the intersection of engineering and research on the Claude Code team. In this role, you&#39;ll collaborate directly with Anthropic&#39;s researchers to improve Claude’s coding capabilities through tooling, infrastructure, and evaluations. You&#39;ll build systems that help us understand where Claude Code excels and where it falls short—and then help close those gaps.</p>\n<p>We&#39;re looking for engineers who can build robust, complex systems and who thrive in fast-paced, high-intensity environments. You&#39;ll take ambiguous problems and turn them into reliable infrastructure that accelerates our research.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build eval systems that measure model capabilities across diverse coding tasks</li>\n</ul>\n<ul>\n<li>Build tooling and infrastructure that enables researchers to run experiments at scale</li>\n</ul>\n<ul>\n<li>Develop pipelines for data collection, processing, and analysis</li>\n</ul>\n<ul>\n<li>Create internal tools that improve researcher productivity and accelerate iteration cycles</li>\n</ul>\n<ul>\n<li>Serve as a bridge between product and research—bring strong product intuition to inform which capabilities matter most</li>\n</ul>\n<ul>\n<li>Work closely with researchers to translate research questions into engineering solutions</li>\n</ul>\n<ul>\n<li>Own systems end-to-end—from design through production reliability</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have built and owned complex systems—pipelines, infrastructure, or software that orchestrates many components and handles significant state and logic</li>\n</ul>\n<ul>\n<li>Thrive in high-intensity environments with fast iteration cycles</li>\n</ul>\n<ul>\n<li>Take full ownership of problems and drive them to completion independently</li>\n</ul>\n<ul>\n<li>Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations</li>\n</ul>\n<ul>\n<li>Are comfortable diving into unfamiliar technical domains and figuring things out quickly</li>\n</ul>\n<ul>\n<li>Care deeply about correctness and reliability in the systems you build</li>\n</ul>\n<ul>\n<li>Are excited to work at the boundary between engineering and AI research</li>\n</ul>\n<ul>\n<li>Have at least 5 years of work experience</li>\n</ul>\n<p><strong>Strong candidates may also have experience with:</strong></p>\n<ul>\n<li>Writing or maintaining eval/evaluation frameworks</li>\n</ul>\n<ul>\n<li>Reinforcement learning systems</li>\n</ul>\n<ul>\n<li>Working in high-performance, demanding environments—trading firms, quant funds, competitive research labs, or fast-moving startups where intensity is the norm</li>\n</ul>\n<ul>\n<li>Have research computing or scientific infrastructure background</li>\n</ul>\n<ul>\n<li>Have a strong quantitative foundation (math, physics, or related fields)</li>\n</ul>\n<ul>\n<li>Python and TypeScript</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dfdafef2-893","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5098025008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $485,000USD","x-skills-required":["Software Engineering","AI Research","Python","TypeScript","Research Computing","Scientific Infrastructure","Quantitative Foundation","Math","Physics","Related Fields"],"x-skills-preferred":["Writing or maintaining eval/evaluation frameworks","Reinforcement learning systems","High-performance, demanding environments","Research computing or scientific infrastructure background"],"datePosted":"2026-03-08T13:48:49.165Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineering, AI Research, Python, TypeScript, Research Computing, Scientific Infrastructure, Quantitative Foundation, Math, Physics, Related Fields, Writing or maintaining eval/evaluation frameworks, Reinforcement learning systems, High-performance, demanding environments, Research computing or scientific infrastructure background","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cf63279d-d28"},"title":"Research Engineer, Reward Models Platform","description":"<p><strong>About the role</strong></p>\n<p>You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts – turning days of manual experimentation into hours. You’ll build the tools and infrastructure that enable researchers across the organisation to develop, evaluate, and optimise reward signals for training our models. Your scalable platforms will make it easy to experiment with different reward methodologies, assess their robustness, and iterate rapidly on improvements to help the rest of Anthropic train our reward models.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation</li>\n<li>Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies</li>\n<li>Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects</li>\n<li>Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment</li>\n<li>Implement monitoring and observability systems to track reward signal quality and surface issues during training runs</li>\n<li>Collaborate with researchers to translate science requirements into platform capabilities</li>\n<li>Optimise existing systems for performance, reliability, and ease of use</li>\n<li>Contribute to the development of best practices and documentation for reward development workflows</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have prior research experience</li>\n<li>Are excited to work closely with researchers and translate ambiguous requirements into well-scoped engineering projects</li>\n<li>Have strong Python skills</li>\n<li>Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms</li>\n<li>Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling</li>\n<li>Can balance building robust, maintainable systems with the need to move quickly in a research environment</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission to develop safe AI</li>\n</ul>\n<p><strong>Strong candidates may also have experience with</strong></p>\n<ul>\n<li>Experience with ML research</li>\n<li>Building internal tooling and platforms for ML researchers</li>\n<li>Data quality assessment and pipeline optimisation</li>\n<li>Experiment tracking, evaluation frameworks, or MLOps tooling</li>\n<li>Large-scale data processing (e.g., Spark, Hive, or similar)</li>\n<li>Kubernetes, distributed systems, or cloud infrastructure</li>\n<li>Familiarity with reinforcement learning or fine-tuning workflows</li>\n</ul>\n<p><strong>Representative projects</strong></p>\n<ul>\n<li>Building infrastructure that allows researchers to rapidly test new rubric designs against small models before scaling up</li>\n<li>Developing automated systems to detect reward hacks and surface problematic behaviours during training</li>\n<li>Creating tooling for comparing different grading methodologies and understanding their effects on model behaviour</li>\n<li>Building a data quality flywheel that helps researchers identify problematic transcripts and feed improvements back into the system</li>\n<li>Developing dashboards and monitoring systems that give researchers visibility into reward signal quality across training runs</li>\n<li>Streamlining dataset preparation workflows to reduce latency and operational overhead</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with the process.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf63279d-d28","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5024831008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - $500,000 USD","x-skills-required":["Python","ML workflows","data pipelines","infrastructure/tooling/platforms","distributed systems","cloud infrastructure","reinforcement learning","fine-tuning workflows"],"x-skills-preferred":["ML research","data quality assessment","pipeline optimisation","experiment tracking","evaluation frameworks","MLOps tooling","large-scale data processing","Kubernetes"],"datePosted":"2026-03-08T13:48:05.218Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, Seattle, WA, New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, ML workflows, data pipelines, infrastructure/tooling/platforms, distributed systems, cloud infrastructure, reinforcement learning, fine-tuning workflows, ML research, data quality assessment, pipeline optimisation, experiment tracking, evaluation frameworks, MLOps tooling, large-scale data processing, Kubernetes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c4eada1-9ea"},"title":"Solutions Architect, Applied AI (Startups)","description":"<p><strong>About the role</strong></p>\n<p>As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You&#39;ll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.</p>\n<p>Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you&#39;ll guide startups from initial technical discovery through successful deployment and beyond. You&#39;ll leverage your expertise to help founders understand Claude&#39;s capabilities, develop evals, and design architectures that maximize the value of our AI systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion</li>\n<li>Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n<li>Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions</li>\n<li>Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams</li>\n<li>Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building</li>\n</ul>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li>3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales</li>\n<li>Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies</li>\n<li>Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams</li>\n<li>Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation</li>\n<li>Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures</li>\n<li>Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams</li>\n<li>Track record of selling technical products in competitive markets</li>\n<li>Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns</li>\n<li>Passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8c4eada1-9ea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5057258008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $270,000 USD","x-skills-required":["Technical customer-facing roles","Solutions Architect","Sales Engineer","Forward Deployed Engineer","Technical founder","Python","LLM frameworks","Tools","Integration patterns","Context engineering","Evaluation frameworks","Modern AI architectures"],"x-skills-preferred":["Builder credibility","Software engineer","Technical founder","Builder-first mindset","LLM solutions","Technical evaluations","Evaluation frameworks","Modern AI architectures","Python","LLM frameworks","Tools","Integration patterns","Context engineering","Evaluation frameworks","Modern AI architectures"],"datePosted":"2026-03-08T13:47:48.001Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical founder, Python, LLM frameworks, Tools, Integration patterns, Context engineering, Evaluation frameworks, Modern AI architectures, Builder credibility, Software engineer, Technical founder, Builder-first mindset, LLM solutions, Technical evaluations, Evaluation frameworks, Modern AI architectures, Python, LLM frameworks, Tools, Integration patterns, Context engineering, Evaluation frameworks, Modern AI architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_92d7adcb-fb1"},"title":"Forward Deployed Engineer, Applied AI","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>\n</ul>\n<ul>\n<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>\n</ul>\n<ul>\n<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>\n</ul>\n<ul>\n<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>\n</ul>\n<ul>\n<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest performing teams are those that are diverse, inclusive, and equitable. We&#39;re committed to building a workplace where everyone has the opportunity to succeed, regardless of their background, identity, or experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_92d7adcb-fb1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5012991008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000 - £255,000GBP","x-skills-required":["Python","LLMs","prompt engineering","agent development","evaluation frameworks","deployment at scale","software engineering","consulting experience"],"x-skills-preferred":["TypeScript","Java","enterprise IT systems","AI deployment patterns"],"datePosted":"2026-03-08T13:45:51.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, software engineering, consulting experience, TypeScript, Java, enterprise IT systems, AI deployment patterns","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f45d2240-92e"},"title":"Forward Deployed Engineer, Applied AI","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>\n</ul>\n<ul>\n<li>Native or C1 German speaker with fluent English proficiency</li>\n</ul>\n<ul>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>\n</ul>\n<ul>\n<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>\n</ul>\n<ul>\n<li>High agency with an ability to navigate ambiguity present in complex organisations.</li>\n</ul>\n<ul>\n<li>High cooperation mindset for cross-organisational collaboration, balancing competing priorities with integrity.</li>\n</ul>\n<ul>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>\n</ul>\n<ul>\n<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f45d2240-92e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5121561008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"€205.000 - €220.000EUR","x-skills-required":["Python","LLMs","prompt engineering","agent development","evaluation frameworks","deployment at scale","strong programming skills"],"x-skills-preferred":["TypeScript","Java","German language"],"datePosted":"2026-03-08T13:45:37.549Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, strong programming skills, TypeScript, Java, German language"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c33b2d78-cc9"},"title":"Research Lead, Training Insights","description":"<p><strong>About the role</strong></p>\n<p>As a Research Lead on the Training Insights team, you&#39;ll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. This is a hands-on leadership role: you&#39;ll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same.</p>\n<p>Your work will span the full lifecycle of model development. You&#39;ll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop — both during production RL training and after. You&#39;ll also take a cross-organisational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage.</p>\n<p>This role carries significant visibility and impact. You&#39;ll help shape the evaluation narrative for model releases, contributing directly to how Anthropic communicates about its models to both internal and external audiences. Done well, you will change how the industry measures and understands model capabilities, significantly furthering our safety mission.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build new novel and long-horizon evaluations</li>\n<li>Develop novel measurement approaches for understanding how model capabilities emerge and evolve during RL training</li>\n<li>Lead strategic evaluation coverage across the company</li>\n<li>Shape the evaluation narrative for model releases</li>\n<li>Lead and mentor a small team of researchers and research engineers, setting research direction and fostering a culture of rigorous, creative research</li>\n<li>Design evaluation frameworks that balance scientific rigor with the practical demands of production training schedules</li>\n<li>Build and maintain relationships across Anthropic&#39;s research organisation to ensure evaluation insights inform training and deployment decisions</li>\n<li>Contribute to the broader research community through publications, open-source contributions, or external engagement on evaluation best practices</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have significant experience designing and running evaluations for large language models or similar complex ML systems</li>\n<li>Have led technical projects or teams, either formally or through sustained ownership of critical research directions</li>\n<li>Are equally comfortable designing experiments and writing code—you can move between research and implementation fluidly</li>\n<li>Think strategically about what to measure and why, not just how to measure it</li>\n<li>Can synthesise information across multiple teams and workstreams to form a coherent picture of model capabilities</li>\n<li>Communicate complex technical findings clearly to both technical and non-technical audiences</li>\n<li>Are results-oriented and thrive in fast-paced environments where priorities shift based on research findings</li>\n<li>Care deeply about AI safety and want your work to directly influence how capable AI systems are developed and deployed</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience building evaluations for long-horizon or agentic tasks</li>\n<li>Deep familiarity with Reinforcement Learning training dynamics and how model behaviour changes during training</li>\n<li>Published research in machine learning evaluation, benchmarking, or related areas</li>\n<li>Experience with safety evaluation frameworks and red teaming methodologies</li>\n<li>Background in psychometrics, experimental psychology, or other measurement-focused disciplines</li>\n<li>A track record of communicating evaluation results to inform high-stakes decisions about model development or deployment</li>\n<li>Experience managing or mentoring researchers and engineers</li>\n</ul>\n<p><strong>Representative projects:</strong></p>\n<ul>\n<li>Designing and implementing a suite of long-horizon evaluations that test model capabilities on tasks requiring sustained reasoning, planning, and tool use over extended interactions</li>\n<li>Building systems to track capability development across RL training checkpoints, surfacing insights about when and how specific capabilities emerge</li>\n<li>Conducting a cross-org audit of evaluation coverage, identifying blind spots, and prioritising new evaluations to fill critical gaps across Pretraining, RL, Inference, and Product</li>\n<li>Developing the evaluation methodology and narrative for a major model release, working with research leads and communications to clearly characterise model capabilities and limitations</li>\n<li>Researching and prototyping novel evaluation approaches for capabilities that are difficult to measure with existing benchmarks</li>\n<li>Leading a team effort to build reusable evaluation infrastructure that serves multiple teams across the research organisation</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices repsectively.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c33b2d78-cc9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5139654008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$850,000 - $850,000USD","x-skills-required":["machine learning","evaluation methodologies","Reinforcement Learning","Pretraining","Inference","Product","Alignment","Safeguards"],"x-skills-preferred":["psychometrics","experimental psychology","safety evaluation frameworks","red teaming methodologies"],"datePosted":"2026-03-08T13:45:37.187Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, evaluation methodologies, Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, psychometrics, experimental psychology, safety evaluation frameworks, red teaming methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":850000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c4b4fd54-188"},"title":"Forward Deployed Engineer, Applied AI (Federal Civilian)","description":"<p><strong>About the Role:</strong></p>\n<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic federal civilian (and, occasionally, state and local) customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>You will sit at the frontier of government AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>\n<p><strong>Core Responsibilities:</strong></p>\n<ul>\n<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>\n<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>\n<li>Provide white glove deployment support for Anthropic products in federal government environments.</li>\n<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>\n<li>Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>\n<li>Travel frequently (25-50%) to customer sites to build in person with customers.</li>\n<li>Be a champion for Anthropic’s mission in the field.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have:</strong></p>\n<ul>\n<li>Security clearance not required, but a plus</li>\n<li>Must have prior experience working with US federal civilian, state, or local agencies</li>\n<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>\n<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications</li>\n<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>\n<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>\n<li>Experience with government IT systems and/or AI deployment patterns is a plus.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n<li>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</li>\n<li>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before you start working with us.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c4b4fd54-188","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5079562008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $320,000 USD","x-skills-required":["Python","LLMs","AI product development stacks","Government IT systems","AI deployment patterns"],"x-skills-preferred":["TypeScript","Java","Prompt engineering","Agent development","Evaluation frameworks"],"datePosted":"2026-03-08T13:44:14.813Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, AI product development stacks, Government IT systems, AI deployment patterns, TypeScript, Java, Prompt engineering, Agent development, Evaluation frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f19b068c-51e"},"title":"Forward Deployed Engineer, Applied AI","description":"<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>\n<li>Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.</li>\n<li>Provideษ deployment support for Anthropic products in enterprise environments.</li>\n<li>Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.</li>\n<li>Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.</li>\n<li>Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>\n<li>Frequently travel (25-50%) to customer sites to build personal relationships with them.</li>\n<li>Be a champion of the Anthropic mission on the ground.</li>\n</ul>\n<p><strong>Profile</strong></p>\n<ul>\n<li>You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. Former technical founders are also encouraged to apply.</li>\n<li>You have experience in production with LLMs, including advanced engineering of prompts, development of agents, evaluation frameworks, and large-scale deployment.</li>\n<li>You have solid programming skills with a mastery of Python (and ideally one or more other languages such as TypeScript, Java, etc.) and experience shipping production applications.</li>\n</ul>\n<p>High action capacity, able to navigate the ambiguity that characterizes complex organizations.</p>\n<ul>\n<li>High cooperation spirit for inter-organizational collaboration, balancing competing priorities with integrity.</li>\n<li>Passion for promoting safe and beneficial AI systems through creative technical applications.</li>\n<li>Solid communication skills to lead exploratory discussions with customers and convey technical concepts to various stakeholders while maintaining a humble and collaborative attitude.</li>\n<li>Experience in the finance, healthcare/life sciences, or another industry is an asset.</li>\n<li>Experience with enterprise IT systems and/or AI deployment models is an asset.</li>\n</ul>\n<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>\n<li>Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.</li>\n<li>Provide deployment support for Anthropic products in enterprise environments.</li>\n<li>Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.</li>\n<li>Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.</li>\n<li>Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>\n<li>Frequently travel (25-50%) to customer sites to build personal relationships with them.</li>\n<li>Be a champion of the Anthropic mission on the ground.</li>\n</ul>\n<p><strong>Profile</strong></p>\n<ul>\n<li>You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. Former technical founders are also encouraged to apply.</li>\n<li>You have experience in production with LLMs, including advanced engineering of prompts, development of agents, evaluation frameworks, and large-scale deployment.</li>\n<li>You have solid programming skills with a mastery of Python (and ideally one or more other languages such as TypeScript, Java, etc.) and experience shipping production applications.</li>\n</ul>\n<p>High action capacity, able to navigate the ambiguity that characterizes complex organizations.</p>\n<ul>\n<li>High cooperation spirit for inter-organizational collaboration, balancing competing priorities with integrity.</li>\n<li>Passion for promoting safe and beneficial AI systems through creative technical applications.</li>\n<li>Solid communication skills to lead exploratory discussions with customers and convey technical concepts to various stakeholders while maintaining a humble and collaborative attitude.</li>\n<li>Experience in the finance, healthcare/life sciences, or another industry is an asset.</li>\n<li>Experience with enterprise IT systems and/or AI deployment models is an asset.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f19b068c-51e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5121563008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","LLMs","MCP servers","sub-agents","agent skills","evaluation frameworks","large-scale deployment","customer-facing skills","engineering expertise","frontier AI applications"],"x-skills-preferred":["TypeScript","Java","enterprise IT systems","AI deployment models","finance","healthcare/life sciences"],"datePosted":"2026-03-08T13:43:49.505Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, MCP servers, sub-agents, agent skills, evaluation frameworks, large-scale deployment, customer-facing skills, engineering expertise, frontier AI applications, TypeScript, Java, enterprise IT systems, AI deployment models, finance, healthcare/life sciences"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_447e0764-67d"},"title":"Forward Deployed Engineer, Applied AI","description":"<p><strong>About the role:</strong></p>\n<p>As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.</p>\n<p>Working closely with our Post-Sales, Product, and Engineering teams, you&#39;ll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.</li>\n<li>Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.</li>\n<li>Provide white glove deployment support for Anthropic products in enterprise environments.</li>\n<li>Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.</li>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.</li>\n<li>Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.</li>\n<li>Travel frequently (25-50%) to customer sites to build in person with customers.</li>\n<li>Be a champion for Anthropic’s mission in the field.</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have:</strong></p>\n<ul>\n<li>4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.</li>\n<li>Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.</li>\n<li>Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications</li>\n<li>High agency with an ability to navigate ambiguity present in complex organizations.</li>\n<li>High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.</li>\n<li>Passion for advancing safe, beneficial AI systems through creative technical applications.</li>\n<li>Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.</li>\n<li>A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.</li>\n<li>Experience with enterprise IT systems and/or AI deployment patterns is a plus.</li>\n<li>Experience working as an FDE or in a professional services context is a plus.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</strong></p>\n<p><strong>Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_447e0764-67d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4985877008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000 - $300,000USD","x-skills-required":["Python","LLMs","prompt engineering","agent development","evaluation frameworks","deployment at scale","MCP servers","sub-agents","agent skills","enterprise IT systems","AI deployment patterns"],"x-skills-preferred":["Typescript","Java","financial services","healthcare/life sciences","professional services"],"datePosted":"2026-03-08T13:43:29.018Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, GA; Austin, TX; Boston, MA; Chicago, IL; New York City, NY; Seattle, WA; San Francisco, CA; New York City, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, prompt engineering, agent development, evaluation frameworks, deployment at scale, MCP servers, sub-agents, agent skills, enterprise IT systems, AI deployment patterns, Typescript, Java, financial services, healthcare/life sciences, professional services","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2ca8afc5-d52"},"title":"Manager, Support Quality","description":"<p>As the Support Quality Manager at Replit, you&#39;ll build and lead the program that ensures our Support organisation delivers consistent, accurate, and high-quality customer experiences at scale. You&#39;ll define how quality is measured, reviewed, and improved across Support, helping teams move faster while maintaining customer trust.</p>\n<p>You&#39;ll lead the strategy, design, and execution of our QA program across FTE and vendor teams. Early on, you may be hands-on in building frameworks, calibrating reviews, and establishing reporting. As the program scales, you&#39;ll build and lead a team responsible for quality reviews, calibration, and performance insights across Support.</p>\n<p>You&#39;ll work cross-functionally with Support, Learning &amp; Knowledge, Support Operations, Product, and Engineering to ensure quality insights directly drive training, workflow improvements, automation strategy, and product feedback.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and lead the Support QA program, including evaluation frameworks, scoring models, review workflows, and calibration processes.</li>\n<li>Hire, develop, and manage QA specialists or analysts as the program scales.</li>\n<li>Define quality standards across ticket support, technical troubleshooting, and customer communication.</li>\n<li>Establish QA coverage strategy across FTE and vendor support teams.</li>\n<li>Lead calibration programs to ensure consistent quality standards across reviewers, teams, and regions.</li>\n<li>Partner with Learning &amp; Knowledge to turn QA insights into training, onboarding improvements, and coaching strategies.</li>\n<li>Partner with Support Operations to embed quality signals into dashboards, reporting, and performance frameworks.</li>\n<li>Define and evolve quality standards for AI-assisted support, including agent assist usage, automation handoffs, and AI-generated content quality.</li>\n<li>Utilize Replit to build internal tooling and recommend external tooling when necessary to improve QA workflows and program scalability.</li>\n<li>Define and track key quality metrics (QA trends, CSAT correlation, escalation rate, escalation rate, repeat contact rate, policy adherence) and report insights to Support leadership.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years in Support Quality, Support Operations, Technical Support, or similar roles in a technology company.</li>\n<li>2+ years in a people management or team leadership capacity.</li>\n<li>Experience building or significantly evolving a QA program, framework, or evaluation system.</li>\n<li>Strong understanding of customer support workflows, ticket lifecycle, and escalation patterns.</li>\n<li>Experience working with support platforms (Zendesk or similar) and QA tooling or review workflows.</li>\n<li>Strong analytical mindset with experience using data to identify trends and drive performance improvements.</li>\n<li>Experience working cross-functionally with Support leadership, Operations, and Enablement or Training teams.</li>\n<li>Strong written and verbal communication skills, including delivering structured performance feedback and coaching guidance.</li>\n<li>Experience working in fast-moving product environments with frequent releases and evolving workflows.</li>\n<li>Hands-on experience using AI tools (e.g., Replit, Claude, ChatGPT, or similar) to improve workflows, knowledge creation, training, or support operations.</li>\n<li>Experience managing or influencing quality across vendor or BPO support environments.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience designing QA programs for technical or developer-focused support environments.</li>\n<li>Experience building QA programs that support both human and AI-assisted support interactions.</li>\n<li>Experience partnering on support automation, routing, or workflow design decisions.</li>\n<li>Experience building QA dashboards, reporting frameworks, or performance analytics models.</li>\n<li>Background in coaching, enablement, or performance improvement programs.</li>\n<li>Experience scaling QA programs in high-growth or early-stage environments.</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Has used Replit and built internal tooling</li>\n<li>Experience working with IDEs, terminals, or other common developer tools.</li>\n</ul>\n<p><strong>What We Value</strong></p>\n<ul>\n<li>Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions</li>\n<li>Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams</li>\n<li>Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences</li>\n<li>Continuous learning: Passion for staying current with industry best practices and new technologies</li>\n<li>Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems</li>\n</ul>\n<p><strong>Full-Time Employee Benefits Include</strong></p>\n<ul>\n<li>Competitive Salary &amp; 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI&#39;s mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.</p>\n<p>The Pretraining Safety team’s goal is to build safer, more capable base models and enable earlier, more reliable safety evaluation during training. We aim to:</p>\n<ol>\n<li><strong>Develop upstream safety evaluations</strong> that to monitor how and when unsafe behaviors and goals emerge;</li>\n</ol>\n<ol>\n<li><strong>Create safer priors</strong> through targeted pretraining and mid-training interventions that make downstream alignment more effective and efficient</li>\n</ol>\n<ol>\n<li><strong>Design safe-by-design architectures</strong> that allow for more controllability of model capabilities</li>\n</ol>\n<p>In addition, we will conduct the foundational research necessary for understanding how behaviors emerge, generalize, and can be reliably measured throughout training.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>The Pretraining Safety team is pioneering how safety is built into models before they reach post-training and deployment. In this role, you will work throughout the full stack of model development with a focus on pre-training:</p>\n<ul>\n<li>Identify safety-relevant behaviors as they first emerge in base models</li>\n</ul>\n<ul>\n<li>Evaluate and reduce risk without waiting for full-scale training runs</li>\n</ul>\n<ul>\n<li>Design architectures and training setups that make safer behavior the default</li>\n</ul>\n<ul>\n<li>Strengthen models by incorporating richer, earlier safety signals</li>\n</ul>\n<p>We collaborate across OpenAI’s safety ecosystem—from Safety Systems to Training—to ensure that safety foundations are robust, scalable, and grounded in real-world risks.</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Develop new techniques to predict, measure, and evaluate unsafe behavior in early-stage models</li>\n</ul>\n<ul>\n<li>Design data curation strategies that improve pretraining priors and reduce downstream risk</li>\n</ul>\n<ul>\n<li>Explore safe-by-design architectures and training configurations that improve controllability</li>\n</ul>\n<ul>\n<li>Introduce novel safety-oriented loss functions, metrics, and evals into the pretraining stack</li>\n</ul>\n<ul>\n<li>Work closely with cross-functional safety teams to unify pre- and post-training risk reduction</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you:</strong></strong></p>\n<ul>\n<li>Have experience developing or scaling pretraining architectures (LLMs, diffusion models, multimodal models, etc.)</li>\n</ul>\n<ul>\n<li>Are comfortable working with training infrastructure, data pipelines, and evaluation frameworks (e.g., Python, PyTorch/JAX, Apache Beam)</li>\n</ul>\n<ul>\n<li>Enjoy hands-on research — designing, implementing, and iterating on experiments</li>\n</ul>\n<ul>\n<li>Enjoy collaborating with diverse technical and cross-functional partners (e.g., policy, legal, training)</li>\n</ul>\n<ul>\n<li>Are data-driven with strong statistical reasoning and rigor in experimental design</li>\n</ul>\n<ul>\n<li>Value building clean, scalable research workflows and streamlining processes for yourself and others</li>\n</ul>\n<p><strong><strong>About OpenAI</strong></strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2bfc37e4-bc3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/d829b701-5ee2-414f-8596-ef94911a168a","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$295K – $445K • Offers Equity","x-skills-required":["pretraining architectures","training infrastructure","data pipelines","evaluation frameworks","Python","PyTorch/JAX","Apache Beam","hands-on research","collaboration","data-driven","statistical reasoning"],"x-skills-preferred":["LLMs","diffusion models","multimodal models","safe-by-design architectures","training configurations","loss functions","metrics","evals"],"datePosted":"2026-03-06T18:36:25.493Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"pretraining architectures, training infrastructure, data pipelines, evaluation frameworks, Python, PyTorch/JAX, Apache Beam, hands-on research, collaboration, data-driven, statistical reasoning, LLMs, diffusion models, multimodal models, safe-by-design architectures, training configurations, loss functions, metrics, evals","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d3a9e9d-dd9"},"title":"Senior Software Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of developing next-generation systems for Microsoft Start. You&#39;ll work directly with leadership to shape the company&#39;s direction in building scalable and high-performance backend services that power user-facing experiences.</p>\n<p><strong>About the Role</strong></p>\n<p>The Content Services Verticals team is seeking a Senior Software Engineer to drive the development of next-generation systems for Microsoft Start. This role offers the opportunity to collaborate across teams within Start, as well as with Edge, Windows, Xbox, Bing, and other divisions, to build scalable and high-performance backend services that power user-facing experiences. In addition to distributed backend engineering, this role emphasizes expertise in building applications using large language models (LLMs), designing evaluation frameworks, and advancing prompt engineering to create intelligent, adaptive, and reliable user experiences.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Ship high-quality, well-tested, secure, and maintainable code.</li>\n<li>Develop and maintain robust, scalable, and efficient full-stack applications.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven ability to create and maintain efficient, reliable backend services.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Highly proactive mindset: taking initiative, working in agile environments, and driving innovation end-to-end to deliver scalable, maintainable, and forward-looking solutions.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8d3a9e9d-dd9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-software-engineer-85/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python"],"x-skills-preferred":["LLMs","evaluation frameworks","prompt engineering"],"datePosted":"2026-03-06T07:28:37.835Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, LLMs, evaluation frameworks, prompt engineering","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9a922408-ad3"},"title":"Member of Technical Staff, Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Member of Technical Staff, Applied Scientist at their Mountain View office. This role sits at the heart of designing and building advanced Copilot features such as Deep Research and Web artifact generation. You&#39;ll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.</p>\n<p><strong>About the Role</strong></p>\n<p>This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You&#39;ll lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals. You&#39;ll also design scalable systems that leverage LLMs to deliver intelligent, user-facing experiences. Additionally, you&#39;ll develop evaluation frameworks and metrics to assess feature performance and user impact, conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination, and build data collection pipelines to support prompt engineering and fine-tuning of LLMs.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Architect and implement advanced Copilot features such as Deep Research and Web artifact generation</li>\n<li>Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years related experience (e.g., statistics predictive analytics, research)</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Experience prompting, evaluating, and working with large language models</li>\n<li>Experience writing production-quality Python code</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Proactive collaborator who communicates clearly</li>\n<li>Thrives in fast-paced environments</li>\n<li>Takes ownership of delivering world-class consumer experiences</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Recognition and rewards for outstanding performance</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9a922408-ad3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-applied-scientist/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["large language models","prompt engineering","fine-tuning","content classifiers","scalable systems","evaluation frameworks","metrics","data analysis","data collection pipelines"],"x-skills-preferred":["responsible AI","research sciences"],"datePosted":"2026-03-06T07:28:33.009Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large language models, prompt engineering, fine-tuning, content classifiers, scalable systems, evaluation frameworks, metrics, data analysis, data collection pipelines, responsible AI, research sciences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b8f14b8a-01e"},"title":"Member of Technical Staff - Multimodal Safety - MAI Super Intelligence Team","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Member of Technical Staff - Multimodal Safety - MAI Super Intelligence Team at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff, Multimodal Safety, you will work to develop and implement cutting-edge safety methodologies for post-training multimodal large language models to be served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.</li>\n<li>Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven expertise in multimodal LLM safety with experience in diffusion models and generative image/video/audio.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Track record building evaluation frameworks, automated red-teaming, and reusable guardrail systems for safety at scale.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.</li>\n<li>Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b8f14b8a-01e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-multimodal-safety-mai-super-intelligence-team/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["multimodal safety","diffusion models","generative image/video/audio","evaluation frameworks","red-teaming methodologies"],"x-skills-preferred":["alignment techniques","robustness improvements","guardrail systems"],"datePosted":"2026-03-06T07:26:54.638Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"multimodal safety, diffusion models, generative image/video/audio, evaluation frameworks, red-teaming methodologies, alignment techniques, robustness improvements, guardrail systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd489ec5-9d8"},"title":"Machine Learning Software Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Machine Learning Software Engineer at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising artificial intelligence technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the technology and simulation markets.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff – Software Engineer &amp; Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.</li>\n<li>Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.</li>\n<li>Demonstrated interest in Responsible AI.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range of USD $139,900 – $274,800 per year.</li>\n<li>Benefits and other compensation.</li>\n<li>Opportunities for professional development and growth within the company.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dd489ec5-9d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/machine-learning-software-engineer/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["Machine Learning","Software Engineering","Data Pipelines","AI-driven Insights","Cohort Analysis","Drill-down Workflows"],"x-skills-preferred":["Responsible AI","Observability","Model Evaluation Frameworks"],"datePosted":"2026-03-06T07:25:57.887Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Software Engineering, Data Pipelines, AI-driven Insights, Cohort Analysis, Drill-down Workflows, Responsible AI, Observability, Model Evaluation Frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}}]}