{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/software-engineering"},"x-facet":{"type":"skill","slug":"software-engineering","display":"Software Engineering","count":100},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d30384aa-64a"},"title":"Strategic Projects Lead - Coding","description":"<p>Scale&#39;s Generative AI business unit is experiencing historic levels of growth. As a Strategic Projects Lead, you will lead initiatives that drive $XXM+ in new revenue for the business. This is a demanding role, requiring a strong entrepreneurial mindset, comfort with getting into the weeds, and excitement about intense, impactful work that leads to accelerated career progression.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Serve as the full owner of our most visible and high-impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins</li>\n<li>Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs</li>\n<li>Build out pipeline infrastructure to ensure quality and efficiency</li>\n<li>Train, coach, and manage dynamic and global teams</li>\n<li>Build analytics to make data-driven decisions</li>\n<li>Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world</li>\n<li>Give regular progress updates to Scale&#39;s executive team</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering</li>\n<li>3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE</li>\n<li>Strong problem-solving capabilities in technical environments</li>\n<li>Ability to come up with creative solutions to complex, ambiguous, operational, and technical problems</li>\n<li>Entrepreneurial experience and mindset</li>\n</ul>\n<p>Compensation 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. 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.</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_d30384aa-64a","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/4666036005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$112,000-$190,000 USD","x-skills-required":["Machine Learning Engineering","Computer Science","Software Engineering","SQL","Python","Data Analytics"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:51.409Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning Engineering, Computer Science, Software Engineering, SQL, Python, Data Analytics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e8abf445-c26"},"title":"Staff Applied AI Engineer, Enterprise GenAI","description":"<p>We&#39;re looking for a Staff Applied AI Engineer to join our Enterprise Engineering team. As an Applied AI Engineer, you&#39;ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins.</p>\n<p>Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you&#39;ll use to improve your product&#39;s performance. 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As a critical builder, you&#39;ll shape and develop Scale&#39;s global defense products, while being the primary technical expert to our global customers.</p>\n<p>You&#39;ll be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding. You&#39;ll design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams.</p>\n<p>You&#39;ll use customer context to inform what you build , understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements. 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In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements.</p>\n<p>Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. 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Experience in executive level engagement with industry partners and Public Sector customers</p>\n<p>Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners</p>\n<p>Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts</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 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_1be1fd1e-8f3","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/4599202005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$257,000-$321,000 USD","x-skills-required":["software engineering","technical leadership","AI/ML technologies","LLMs","AI agents","Kubernetes","cloud infrastructure","Python","JavaScript/TypeScript"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:16.791Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, technical leadership, AI/ML technologies, LLMs, AI agents, Kubernetes, cloud infrastructure, Python, JavaScript/TypeScript","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":257000,"maxValue":321000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bebb6dc-380"},"title":"Staff Software Engineer, Platform","description":"<p>We live in unprecedented times – AI has the potential to exponentially augment human intelligence. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.</p>\n<p>At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.</p>\n<p>As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity &amp; access management, and underlying cloud infrastructure.</p>\n<p>Impact and Responsibilities:</p>\n<ul>\n<li>Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.</li>\n</ul>\n<ul>\n<li>Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.</li>\n</ul>\n<ul>\n<li>Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.</li>\n</ul>\n<ul>\n<li>Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.</li>\n</ul>\n<p>Ideally you’d have:</p>\n<ul>\n<li>8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.</li>\n</ul>\n<ul>\n<li>Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).</li>\n</ul>\n<ul>\n<li>Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.</li>\n</ul>\n<ul>\n<li>Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Experience working fluently with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc.</li>\n</ul>\n<ul>\n<li>Experience with orchestration platforms, such as Temporal and AWS Step Functions.</li>\n</ul>\n<ul>\n<li>Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).</li>\n</ul>\n<ul>\n<li>Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).</li>\n</ul>\n<ul>\n<li>Experience scaling products at hyper-growth startups.</li>\n</ul>\n<ul>\n<li>Excitement to work with AI technologies.</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>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 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_1bebb6dc-380","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/4649893005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["Software development","Distributed systems","Public cloud platforms","Containerization & deployment technologies","Orchestration platforms","NoSQL document databases","Structured databases","Software engineering best practices","CI/CD tooling"],"x-skills-preferred":["Data warehouses","Data pipeline/ETL tools","Scaling products at hyper-growth startups","AI technologies"],"datePosted":"2026-04-18T16:00:12.545Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software development, Distributed systems, Public cloud platforms, Containerization & deployment technologies, Orchestration platforms, NoSQL document databases, Structured databases, Software engineering best practices, CI/CD tooling, Data warehouses, Data pipeline/ETL tools, Scaling products at hyper-growth startups, AI technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4c6f4642-054"},"title":"Staff Product Manager, Agentic Platform","description":"<p>We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. As a Staff Product Manager, you will develop enterprise-grade solutions that leverage cutting-edge AI and AI agents to drive value for public sector customers. You will work with executives at Scale and our customers to determine and execute the product strategy of the business. You will own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. You will lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance. You will develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry. Ideally, you&#39;d have technical experience in building ML-powered and/or enterprise-facing products, a strong understanding of generative AI technologies and their applications in public or large-scale private sector settings, experience operating in a fast-paced environment with high ambiguity, exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams, data literacy, and experience with data analytics. You will maintain a Top Secret security clearance.</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. 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>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 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_4c6f4642-054","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4612403005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$237,600-$297,000 USD; $213,400-$267,300 USD","x-skills-required":["generative AI technologies","public sector AI solution","software engineering principles","ML/AI application development","Top Secret security clearance"],"x-skills-preferred":["experience building infrastructure and tooling to develop and support agentic applications","experience working in startup environments building solutions for public sector/federal customers","understanding of public/federal networks, infrastructure, and deployment constraints","TS/SCI Security Clearance"],"datePosted":"2026-04-18T15:59:39.807Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; San Francisco, CA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"generative AI technologies, public sector AI solution, software engineering principles, ML/AI application development, Top Secret security clearance, experience building infrastructure and tooling to develop and support agentic applications, experience working in startup environments building solutions for public sector/federal customers, understanding of public/federal networks, infrastructure, and deployment constraints, TS/SCI Security Clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":213400,"maxValue":297000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3aedc59f-428"},"title":"Senior Forward Deployed AI Engineer, Enterprise","description":"<p>As a Senior Forward Deployed AI Engineer on our Enterprise team, you&#39;ll be the technical bridge between Scale AI&#39;s cutting-edge AI capabilities and our most strategic customers. You&#39;ll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.</p>\n<p>This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You&#39;ll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Customer Integration &amp; Deployment</strong></p>\n<ul>\n<li>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements</li>\n<li>Design and implement custom integrations between Scale AI&#39;s platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>\n<li>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows</li>\n<li>Deploy and configure AI models and agents within customer security and compliance boundaries</li>\n</ul>\n<p><strong>AI Agent Development</strong></p>\n<ul>\n<li>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation</li>\n<li>Architect multi-agent systems that orchestrate between different models, tools, and data sources</li>\n<li>Implement evaluation frameworks to measure agent performance and iterate toward business objectives</li>\n<li>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement</li>\n</ul>\n<p><strong>Prompt Engineering &amp; Optimization</strong></p>\n<ul>\n<li>Create sophisticated prompt engineering strategies optimized for customer-specific domains and data</li>\n<li>Build and maintain prompt libraries, templates, and best practices for customer use cases</li>\n<li>Conduct systematic prompt experimentation and A/B testing to improve model outputs</li>\n<li>Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate</li>\n</ul>\n<p><strong>Technical Leadership &amp; Collaboration</strong></p>\n<ul>\n<li>Serve as the primary technical point of contact for strategic enterprise accounts</li>\n<li>Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration</li>\n<li>Provide technical training and knowledge transfer to customer teams</li>\n<li>Work closely with Scale&#39;s product and engineering teams to translate customer needs into product improvements</li>\n<li>Document technical architectures, integration patterns, and best practices</li>\n</ul>\n<p><strong>Problem Solving &amp; Innovation</strong></p>\n<ul>\n<li>Debug complex technical issues across the entire stack, from data pipelines to model outputs</li>\n<li>Rapidly prototype solutions to unblock customers and prove out new use cases</li>\n<li>Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems</li>\n<li>Identify opportunities for productization based on common customer patterns</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design</li>\n<li>Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure</li>\n<li>Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions</li>\n<li>Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Agent Development Wiz</li>\n<li>Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures</li>\n<li>Experience building and deploying AI agents or autonomous systems in production</li>\n<li>Knowledge of vector databases and semantic search systems</li>\n<li>Contributions to open-source AI/ML projects</li>\n</ul>\n<ul>\n<li>Infrastructure Guru</li>\n<li>Experience with containerization (Docker, Kubernetes) and CI/CD pipelines</li>\n<li>Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools</li>\n<li>Previous work in a devops, platform, or infra role</li>\n</ul>\n<ul>\n<li>Customer Product Whisperer</li>\n<li>Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role</li>\n<li>Domain expertise in verticals like finance, healthcare, government, or manufacturing</li>\n<li>Experience with technical enablement or teaching programs</li>\n</ul>\n<p><strong>Sample Projects</strong></p>\n<p>The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.</p>\n<ul>\n<li>Deep Research for Due Diligence</li>\n<li>Churn Prediction</li>\n<li>Data Extraction Voice Agent</li>\n</ul>\n<p><strong>Compensation</strong></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. 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You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and deploy multi-agent systems for agentic reasoning validation</li>\n<li>Develop pipelines to detect errors and scale human judgment</li>\n<li>Combine classical ML, LLMs, and multi-agent techniques for reliability</li>\n<li>Lead research into agent failure modes and ship fixes</li>\n<li>Use AI tools to speed prototyping and iteration</li>\n<li>Build data-driven evaluations and deploy rapid improvements</li>\n<li>Integrate systems into Scale&#39;s platform</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>PhD or MSc in Computer Science, Mathematics, Statistics, or related field</li>\n<li>3+ years shipping scaled production ML systems</li>\n<li>Demonstrated real-world impact</li>\n<li>Mastery of PyTorch, TensorFlow, JAX, or scikit-learn</li>\n<li>Deep expertise in agentic LLMs and multi-agent systems</li>\n<li>Strong software engineering and microservices (AWS/GCP)</li>\n<li>Rapid, data-driven iteration</li>\n<li>Proficiency using AI tools to accelerate work</li>\n<li>Strong research depth with practical bias</li>\n<li>Excellent cross-functional communication</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience prototyping agent evaluation/reliability systems</li>\n<li>Human-in-the-loop or annotation pipeline work</li>\n<li>Open-source contributions in agents, evaluation, or alignment</li>\n<li>Publications on agent reliability (NeurIPS, ICML, ICLR)</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</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_4f808d6c-a4e","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/4490301005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["PyTorch","TensorFlow","JAX","scikit-learn","Agentic LLMs","Multi-agent systems","Software engineering","Microservices","Data-driven iteration","AI tools"],"x-skills-preferred":["Experience prototyping agent evaluation/reliability systems","Human-in-the-loop or annotation pipeline work","Open-source contributions in agents, evaluation, or 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Platform Compute","description":"<p>Ready to be pushed beyond what you think you’re capable of?</p>\n<p>At Coinbase, our mission is to increase economic freedom in the world.</p>\n<p>We&#39;re seeking a Senior Software Engineer, Infrastructure - Platform Compute to join our team.</p>\n<p>As a member of our Platform Product Group, you will be responsible for building a trusted, scalable, and compliant platform to operate with speed, efficiency, and quality.</p>\n<p>Our teams build and maintain the platforms critical to the existence of Coinbase.</p>\n<p>The Compute team builds and operates the Kubernetes platform at Coinbase, which is the primary compute orchestration infrastructure for services at Coinbase.</p>\n<p>You will work towards continuously improving the scalability, reliability, efficiency, and operational experience of using Kubernetes at Coinbase, working closely with the Routing, Security, Reliability, and Observability teams (among many 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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_9b1c4962-526"},"title":"Deputy Chief Engineer, Autonomous Airpower","description":"<p>We are seeking a highly experienced Deputy Chief Engineer to join our Autonomous Airpower team. As a key member of our engineering team, you will be responsible for leading the design and development of vehicle subsystems from conceptual design phase through detailed design, build, test, and productionization.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Own vehicle subsystems/design scope from conceptual design phase through detailed design, build, test, and productionization.</li>\n<li>Establish program plan/vision and communicate to team while ensuring they stay on track.</li>\n<li>Coordinate and execute design level trades working with various functional engineering teams.</li>\n<li>Incorporate expert knowledge of first principles aircraft design, design standards, system safety, test methodology, and risk reduction across team.</li>\n<li>Establish requirements, design review entrance/exit criteria, etc.</li>\n<li>Own interfaces between subsystems.</li>\n<li>Manage technical and programmatic risks for systems you are responsible for.</li>\n<li>Negotiate workflows with functional engineering leaders.</li>\n<li>Develop budgetary estimates and schedules working with functional engineering teams.</li>\n<li>Develop staffing estimates, and work with functional engineering and operations teams to recruit top talent and integrate them into the team.</li>\n<li>Monitor budget and schedule performance to ensure appropriate performance.</li>\n<li>Coordinate transitions between engineering and manufacturing, test, and production.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Experience developing, building, and testing large aircraft subsystems.</li>\n<li>7+ years of technical engineering experience in a professional environment.</li>\n<li>Strong oral and written communication skills.</li>\n<li>Experience leading technical new start development projects.</li>\n<li>Must be able to obtain and hold a U.S. security clearance.</li>\n<li>Aerospace, Electrical, Mechanical, or Software Engineering degree.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Aviation passion demonstrated through FAA pilot&#39;s license, Airframe and Powerplant license, Experimental Aircraft/Homebuilding, etc.</li>\n<li>Demonstrated ability to take designs from concept to flight.</li>\n<li>Unmanned aircraft development experience.</li>\n<li>Strong hands-on technical skills - 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As a Technical Recruiter, you will operate in a full-lifecycle capacity supporting top of funnel strategy to negotiating and closing talent. 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We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&#39;re excited about this role but your past experience doesn&#39;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</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_c59c5381-31b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5699965004","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$105,000-$210,000 USD","x-skills-required":["technical recruiting","software engineering","hiring strategies","candidate outreach","communication","candidate experience","pipeline metrics","interview processes"],"x-skills-preferred":["analytics recruiting","Figma products","team-first mentality","Gem","Greenhouse","belonging and inclusion"],"datePosted":"2026-04-18T15:57:02.970Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical recruiting, software engineering, hiring strategies, candidate outreach, communication, candidate experience, pipeline metrics, interview processes, analytics recruiting, Figma products, team-first mentality, Gem, Greenhouse, belonging and inclusion","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1869fa15-51d"},"title":"Software Engineer, Platform","description":"<p>We&#39;re looking for a skilled Software Engineer to join our Platform Engineering team. 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This role will allow you to deepen your expertise in a rapidly evolving technology and make a significant impact on leading data analytics products.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, develop and maintain core components in Open Source Trino, the Starburst Enterprise Platform, or the Starburst Galaxy</li>\n<li>Research and Improve performance of Trino query engine on complex queries without sacrificing correctness of the results</li>\n<li>Collaborate with your team members and other teams globally and operate in a fast-paced environment</li>\n<li>We prioritize focused work, ensuring minimal time is spent in formal meetings, allowing you to concentrate on coding and PR reviews</li>\n<li>Being able to clearly articulate your ideas in writing across various communication channels like Slack, GitHub PRs, and Design Documents is essential in our globally distributed team</li>\n<li>Provide exceptional customer support for both internal and external customers</li>\n</ul>\n<p>Some of the things we look for:</p>\n<ul>\n<li>At least 2 years of experience developing distributed systems</li>\n<li>Software development experience with Java</li>\n<li>Demonstrated experience with software engineering and design best practices</li>\n<li>Appreciation for creating maintainable, performant, and high-quality software as part of a fun, high-performing global team</li>\n<li>Interest in distributed systems or database internals such as query optimization</li>\n<li>Intrinsic motivation for improving your software engineering craftsmanship</li>\n<li>Demonstration of ownership, grit, and bias for action - core values at Starburst.</li>\n</ul>\n<p>Bonus points:</p>\n<ul>\n<li>Prior experience with database internals such as query optimization</li>\n<li>Familiarity with Trino</li>\n<li>Experience in contributing to larger scale Open-Source Software</li>\n</ul>\n<p>Where could this role be based?</p>\n<ul>\n<li>This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 1-2 days per week.</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_40bd1c3c-ae0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Starburst","sameAs":"https://www.starburst.io/","logo":"https://logos.yubhub.co/starburst.io.png"},"x-apply-url":"https://job-boards.greenhouse.io/starburst/jobs/4783675008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"310 000 zł-403 000 zł PLN","x-skills-required":["Java","Distributed systems","Software engineering","Database internals","Query optimization"],"x-skills-preferred":["Trino","Open-Source Software"],"datePosted":"2026-04-18T15:56:46.902Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Distributed systems, Software engineering, Database internals, Query optimization, Trino, Open-Source Software"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_45cde3e1-29d"},"title":"Applied AI Engineer, Enterprise GenAI","description":"<p>We&#39;re looking for an Applied AI Engineer to join our Enterprise Engineering team. 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As a key member of our engineering leadership team, you will be responsible for setting the technical strategy for our core patient experience, leading three engineering managers, and scaling the org from 18 to 30+ engineers over the next 18 months. You will also co-own patient funnel metrics with your Product and Data counterparts, drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems, and build an engineering culture with clear standards for velocity, quality, and technical excellence.</p>\n<p>Required experience includes 10+ years of software engineering experience, 5+ years managing engineering managers, and leading engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business. 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As a member of our Engineering team, you will be responsible for building innovative products and infrastructure for both internal and external users. You will design and build strong, resilient, and robust APIs, libraries, and tools to power Brex engineers and operations. You will own functionality and scalability features by taking responsibility from inception to deployment. You will be responsible for the full software development lifecycle: design, development, testing, and operating in production. 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As part of a collaborative, interdisciplinary team building our biological software, you will work alongside scientists, deep learning researchers, engineers, and entrepreneurs.</p>\n<p>To accomplish this, you will be available to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET. You will also be ready to travel several times a year for company retreats and business events.</p>\n<p>We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations.</p>\n<p>As a member of our team, you will receive a competitive compensation package, including $105K – $240K + Bonus + Equity. You will also enjoy 30 days paid vacation per year, comprehensive health insurance for US-based beginners, and a 401K with company match for US-based beginners and Direktversicherung for German beginners.</p>\n<p>Additionally, you will participate in quarterly company-wide retreats, monthly wellness benefits, and budget for multiple visits per year to our offices in Berlin, Palo Alto, or Switzerland. 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Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). 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with and for our customers.</p>\n<p>The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop enterprise-grade solutions that leverage cutting-edge AI to drive business value at world-class companies across many industries.</li>\n</ul>\n<ul>\n<li>Work with executives at Scale and our customers to determine and execute the product strategy of the business.</li>\n</ul>\n<ul>\n<li>Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches.</li>\n</ul>\n<ul>\n<li>Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance.</li>\n</ul>\n<ul>\n<li>Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the 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Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>We&#39;re the only company offering three integrated solutions for frontier AI development:</p>\n<p>Enterprise Platform &amp; Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</p>\n<p>Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</p>\n<p>Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</p>\n<p>Why Join Us</p>\n<p>High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. 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This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.</p>\n<p>What You’ll Do</p>\n<p>Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality</p>\n<p>Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities</p>\n<p>Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction</p>\n<p>Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)</p>\n<p>Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring</p>\n<p>Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements</p>\n<p>Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly</p>\n<p>Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions</p>\n<p>What We’re Looking For</p>\n<p>5+ years of software engineering experience (Python)</p>\n<p>2+ years of experience managing or leading engineers in fast-paced environments</p>\n<p>Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)</p>\n<p>Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)</p>\n<p>Background in infrastructure, developer tooling, or distributed systems</p>\n<p>Strong debugging skills and systems thinking across layered, containerized environments</p>\n<p>Ability to operate in ambiguity and translate loosely defined problems into clear execution plans</p>\n<p>Excellent communication and stakeholder management skills</p>\n<p>Preferred</p>\n<p>Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)</p>\n<p>Familiarity with cloud infrastructure (GCP or AWS)</p>\n<p>Prior experience in AI/ML platforms, data companies, or research environments</p>\n<p>Contributions to open-source projects in RL, agents, or developer tooling</p>\n<p>Why This Role Matters</p>\n<p>RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.</p>\n<p>In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.</p>\n<p>About Alignerr</p>\n<p>Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.</p>\n<p>Life at Labelbox</p>\n<p>Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</p>\n<p>Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility</p>\n<p>Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</p>\n<p>Growth: Career advancement opportunities directly tied to your impact</p>\n<p>Vision: Be part of building the foundation for humanity&#39;s most transformative technology</p>\n<p>Our Vision</p>\n<p>We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.</p>\n<p>Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.</p>\n<p>Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</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_fe04c8cc-782","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/5101195007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$220,000 USD","x-skills-required":["Software engineering experience (Python)","Containerization and sandboxing (Docker, Firecracker, or similar)","Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)","Infrastructure, developer tooling, or distributed systems","Debugging skills and systems thinking"],"x-skills-preferred":["Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)","Familiarity with cloud infrastructure (GCP or AWS)","Prior experience in AI/ML platforms, data companies, or research environments","Contributions to open-source projects in RL, agents, or developer tooling"],"datePosted":"2026-04-18T15:56:05.491Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering experience (Python), Containerization and sandboxing (Docker, Firecracker, or similar), Reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces), Infrastructure, developer tooling, or distributed systems, Debugging skills and systems thinking, Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench), Familiarity with cloud infrastructure (GCP or AWS), Prior experience in AI/ML platforms, data companies, or research environments, Contributions to open-source projects in RL, agents, or developer tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_314ed80b-9f4"},"title":"Staff Mobile Software Engineer, iOS","description":"<p>At Gusto, we&#39;re on a mission to grow the small business economy. 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You&#39;ll work closely with teams across Product, Identity, Security, System Design, and Infrastructure, collaborating to build solutions that really make a difference.</p>\n<p>If you&#39;re excited about building elegant, scalable apps and being part of a supportive, innovative mobile team, we&#39;d love to hear from you!</p>\n<p>About the Team:</p>\n<p>At Gusto, we&#39;re excited to be at a pivotal moment in our journey with over 1M+ monthly active users and the recent launch of our employer experiences on mobile. Our mission is to tackle the real challenges faced by small business owners and their employees, and we believe that mobile is key to delivering impactful solutions. As part of our mobile team, you&#39;ll be at the forefront of this transformation, working alongside talented engineers and designers who are passionate about creating a seamless mobile experience. 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More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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The AgentOps team is responsible for building the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles.\\n\\nAs a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations (&quot;AgentOps&quot;), including building, deploying, monitoring, evaluating and improving agents to solve customer needs.\\n\\nWith the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable.\\n\\nResponsibilities:\\n\\n<em> Manage the engineering team and drive technical delivery\\n</em> Comfortable working cross functionally, whether that be internal or external customers\\n<em> Work across the entire product lifecycle from conceptualization through production\\n</em> Build features end-to-end: back-end, system design, debugging and testing\\n<em> Deliver experiments at a high velocity and level of quality to engage our customers\\n</em> Influence the culture, values, and processes of a growing engineering team\\n<em> Inspire and mentor engineers\\n</em> Collaborating with cross-functional teams to define, design, and ship new product features and experiences\\n\\nRequirements:\\n\\n<em> At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred\\n</em> Proven success in leading, managing, and developing high-performing Engineering teams\\n<em> Expertise in identifying product engagement patterns and trends for large scale consumer products\\n</em> Track record of shipping high-quality products and features at scale\\n<em> Desire to work in a very fast-paced environment\\n</em> Ability to turn business and product ideas into engineering solutions\\n* Excellent problem-solving skills, and be able to work independently or as part of a team.\\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.</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_40818a5d-8a5","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/4625271005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["engineering management","team leadership","product development","feature delivery","cross-functional collaboration"],"x-skills-preferred":["AI development","machine learning","software engineering","data analysis"],"datePosted":"2026-04-18T15:55:33.532Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering management, team leadership, product development, feature delivery, cross-functional collaboration, AI development, machine learning, software engineering, data analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b0b4fd6a-aa2"},"title":"Engineering Manager - Identity and Access Management (IAM)","description":"<p>We are looking for an Engineering Manager to lead our Identity and Access Management (IAM) team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform.</p>\n<p>As an Engineering Manager, you will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. You will define and drive the strategy for IAM systems, including authentication and access control. You will build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Providing technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.</li>\n<li>Partnering with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.</li>\n<li>Ensuring regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.</li>\n<li>Attracting and growing top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast-paced, dynamic environment.</li>\n<li>Experience building large-scale distributed systems with high availability and security requirements.</li>\n<li>Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.</li>\n<li>Proven success driving cross-functional security initiatives and influencing leaders without direct authority.</li>\n<li>Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.</li>\n<li>Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range for this role is $190,000-$261,250 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_b0b4fd6a-aa2","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/8298018002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$261,250 USD","x-skills-required":["software engineering","engineering leadership","large-scale distributed systems","high availability","security requirements","team management","cross-functional security initiatives","technical direction","architecture","pragmatic execution mindset","communication","leadership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:30.708Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, engineering leadership, large-scale distributed systems, high availability, security requirements, team management, cross-functional security initiatives, technical direction, architecture, pragmatic execution mindset, communication, leadership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":261250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a167f6d-b06"},"title":"Engineering Manager, Quality Platform","description":"<p>Job Title: Engineering Manager, Quality Platform</p>\n<p>At Airbnb, quality is not a gate , it’s a platform. The Quality Platform team is reimagining how software is built, tested, and shipped at scale. We sit at the intersection of Infrastructure, Developer Experience, and Applied AI, building the systems that enable thousands of engineers across Airbnb to ship high-quality software with speed and total confidence.</p>\n<p>As a cornerstone of Airbnb’s Engineering Hub in Brazil, this team plays a key role in expanding our global platform capabilities while building a high-impact local engineering presence. You will join at a defining moment, helping to shape both the technical direction of the platform and the culture of the Brazil hub.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead a High-Impact Team: Build and grow a world-class team of engineers. Foster a culture of Engineering Craft, ownership, and operational excellence.</li>\n<li>Drive Full-Cycle Platform Strategy: Define the roadmap for a unified quality platform that integrates Shift-Left methodologies with robust E2E automation, ensuring high-fidelity signals at every stage.</li>\n<li>Transform Quality with AI: Lead the adoption of AI-native approaches, leveraging LLMs for autonomous test discovery, predictive failure analysis, and self-healing E2E automation.</li>\n<li>Champion &#39;Quality by Design&#39;: Influence how large-scale systems are built across Airbnb, ensuring that testability, modularity, and scalability are fundamental parts of our global architecture.</li>\n<li>Scale the Brazil Hub: Partner with the Brazil Site Lead and global leaders to establish operational rhythms, mentor talent, and build the Airbnb engineering brand in the region.</li>\n</ul>\n<p>A Typical Day:</p>\n<ul>\n<li>Strategic Leadership: Review technical designs and partner with tech leads to ensure our platform provides early feedback to developers while maintaining comprehensive E2E coverage.</li>\n<li>People &amp; Culture: Coach and mentor engineers, driving career growth and fostering an inclusive team environment built on trust and belonging.</li>\n<li>Operational Excellence: Identify and resolve systemic bottlenecks in our CI/CD pipelines and testing environments to improve developer velocity and release confidence.</li>\n<li>Cross-Functional Influence: Collaborate with global Infrastructure, Product, and Data leaders to promote full-cycle quality standards and align on shared technical priorities.</li>\n<li>Strategic Sourcing: Participate in recruiting, onboarding, and community-building efforts to scale our presence in the Brazil market.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>Leadership Mastery: 3+ years of engineering management and 7+ years in software engineering, with a proven track record of leading high-performing teams.</li>\n<li>Platform &amp; Infrastructure Mindset: Deep experience building or leading infrastructure, developer tooling, or large-scale distributed systems that serve internal engineering customers.</li>\n<li>Full-Cycle Testing Knowledge: A strong understanding of the entire testing pyramid, including unit, integration, and high-scale E2E automation frameworks.</li>\n<li>Strategic Execution: Demonstrated ability to lead through ambiguity and drive complex technical strategies across geographic and organizational boundaries.</li>\n<li>Global Collaboration: Exceptional communication skills in English, with the ability to influence technical roadmaps and stakeholders across the globe.</li>\n<li>Technical Pluses: Experience with Mobile Development (iOS/Android) or Applied AI/ML is highly valued but not required.</li>\n<li>Commitment to Craft: A passion for engineering excellence and a curiosity for how AI can redefine the relationship between speed and quality.</li>\n</ul>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions.</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_4a167f6d-b06","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7434498","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Leadership","Engineering Management","Software Engineering","Infrastructure","Developer Tooling","Distributed Systems","Full-Cycle Testing","Unit Testing","Integration Testing","E2E Automation","Strategic Execution","Global Collaboration","Communication"],"x-skills-preferred":["Mobile 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which provides the foundational cash layer for Coinbase’s Consumer business.</p>\n<p>As a Staff Engineer, you will be the technical anchor for Cash services, defining the architecture and roadmap for core cash capabilities.</p>\n<p>You will be part of the vision to build a compelling and trusted single cash balance that serves Everything Exchange users’ risk-off needs.</p>\n<p>This role is for an engineer who thrives on tackling complex, high-impact distributed systems that require high reliability and performance,especially in a trading and financial technology context.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Serve as the technical leader and strategist for the Consumer Cash team, defining multi-quarter technical strategies that intersect multiple financial products.</li>\n</ul>\n<ul>\n<li>Architect, develop, and own distributed systems that power low-latency APIs and event-driven pipelines that process large volumes of cash transactions with strong correctness 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ambiguous, high-impact problems.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with low-latency, event-driven, or distributed systems.</li>\n</ul>\n<ul>\n<li>A strong signal if you have a background in building consumer facing trading products or any application that handles large amounts of streaming data.</li>\n</ul>\n<ul>\n<li>Passion for building an open financial system that brings the world together.</li>\n</ul>\n<ul>\n<li>Intellectual curiosity, openness, and a passion for building a culture of positive energy and blameless truth-seeking.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience in payments, banking, wallets, or trading systems, especially transaction processing or ledgering.</li>\n</ul>\n<ul>\n<li>Familiarity with the tech stack, including Golang, Clickhouse, Kafka, Redis, MongoDB.</li>\n</ul>\n<ul>\n<li>Experience building financial, high reliability, or security systems.</li>\n</ul>\n<ul>\n<li>Background in Blockchains (such as Bitcoin, Ethereum) or crypto-forward experience (e.g., interacting with Ethereum addresses, ENS, dApps).</li>\n</ul>\n<ul>\n<li>Experience with a company going through rapid growth (from 10 to 100s of engineers).</li>\n</ul>\n<p>Job #: 75913</p>\n<p>#LI-Remote</p>\n<p>Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).</p>\n<p>Annual base salary range (excluding equity and bonus):</p>\n<p>$217,900-$217,900 CAD</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_d3d37bf3-6e8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/","logo":"https://logos.yubhub.co/coinbase.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coinbase/jobs/7659458","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$217,900-$217,900 CAD","x-skills-required":["software engineering","distributed systems","low-latency APIs","event-driven pipelines","Kafka","Clickhouse","Golang","MongoDB","Redis"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:27.782Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"software engineering, distributed systems, low-latency APIs, event-driven pipelines, Kafka, Clickhouse, Golang, MongoDB, Redis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":217900,"maxValue":217900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ccb5daf2-354"},"title":"Sr. ML Ops Engineer, tvScientific","description":"<p>We&#39;re looking for a Senior MLOps Engineer to join our distributed engineering team on our Connected TV ad-buying platform. As a Senior MLOps Engineer, you will be responsible for scaling the decision-making process for tools for the tvScientific AI team, improving the developer experience for the data science team, upgrading our observability tooling, serving as a technical lead and mentor to the team, and making every deployment smooth as our infrastructure evolves.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Scaling the decision-making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments</li>\n<li>Improving the developer experience for the data science team</li>\n<li>Upgrading our observability tooling</li>\n<li>Serving as a technical lead and mentor to the team</li>\n<li>Making every deployment smooth as our infrastructure evolves</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Deep understanding of Linux</li>\n<li>Excellent writing skills</li>\n<li>A systems-oriented mindset</li>\n<li>Experience in high-performance software (RTB, HFT, etc.)</li>\n<li>Software engineering experience + reliability (e.g. CI/CD) expertise</li>\n<li>Strong observability instincts</li>\n<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs</li>\n<li>Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)</li>\n<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>\n</ul>\n<p>Nice-to-haves include:</p>\n<ul>\n<li>Reverse-engineering experience</li>\n<li>Terraform, EKS, or MLOps experience</li>\n<li>Python, Scala, or Zig experience</li>\n<li>NixOS experience</li>\n<li>Adtech or CTV experience</li>\n<li>Experience deploying a distributed system across multiple clouds</li>\n<li>Experience in hard real-time low-latency</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_ccb5daf2-354","directApply":true,"hiringOrganization":{"@type":"Organization","name":"tvScientific","sameAs":"https://www.tvscientific.com/","logo":"https://logos.yubhub.co/tvscientific.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7642249","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$155,584-$320,320 USD","x-skills-required":["Linux","writing skills","systems-oriented mindset","high-performance software","software engineering","reliability","observability","AI","critical evaluation","verification","data protection","data validation","peer review"],"x-skills-preferred":["reverse-engineering","Terraform","EKS","MLOps","Python","Scala","Zig","NixOS","adtech","CTV","distributed system","hard real-time low-latency"],"datePosted":"2026-04-18T15:55:03.102Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Linux, writing skills, systems-oriented mindset, high-performance software, software engineering, reliability, observability, AI, critical evaluation, verification, data protection, data validation, peer review, reverse-engineering, Terraform, EKS, MLOps, Python, Scala, Zig, NixOS, adtech, CTV, distributed system, hard real-time low-latency","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":155584,"maxValue":320320,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5f66d426-bea"},"title":"Principal Software Engineer, Corporate AI","description":"<p>The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization&#39;s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.</p>\n<p>The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.</p>\n<p>A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact.</p>\n<p>Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organisational objectives.</li>\n</ul>\n<ul>\n<li>Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.</li>\n</ul>\n<ul>\n<li>Lead the design, development, and deployment of high-performance AI systems, data pipelines, and intelligent services from conception through production.</li>\n</ul>\n<ul>\n<li>Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short-term delivery with long-term resilience and scalability.</li>\n</ul>\n<ul>\n<li>Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.</li>\n</ul>\n<ul>\n<li>Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de-risk decisions, or accelerate progress.</li>\n</ul>\n<ul>\n<li>Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalisation, search, and intelligent decision-making.</li>\n</ul>\n<ul>\n<li>Drive innovation in intelligence models, distributed training, optimisation techniques, and data engineering to maximise performance, quality, and business impact.</li>\n</ul>\n<ul>\n<li>Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.</li>\n</ul>\n<ul>\n<li>Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward-looking technical posture.</li>\n</ul>\n<ul>\n<li>Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.</li>\n</ul>\n<ul>\n<li>Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.</li>\n</ul>\n<ul>\n<li>Resolve conflicting requirements and priorities with sound technical judgment that favours long-term organisational outcomes over local optimisation.</li>\n</ul>\n<ul>\n<li>Advocate for intelligence-driven solutions across the organisation and influence company-wide technical priorities.</li>\n</ul>\n<ul>\n<li>Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to 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org boundaries.</li>\n</ul>\n<ul>\n<li>Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well-aligned.</li>\n</ul>\n<ul>\n<li>For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company-wide strategy.</li>\n</ul>\n<ul>\n<li>Lead and support critical, high-impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.</li>\n</ul>\n<ul>\n<li>Drive execution on complex projects with significant ambiguity or high cost of failure.</li>\n</ul>\n<ul>\n<li>Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.</li>\n</ul>\n<ul>\n<li>Promote a bias toward action, thoughtful experimentation, and continuous learning.</li>\n</ul>\n<ul>\n<li>Model excellence in engineering craft, collaboration, accountability, and inclusive behaviour.</li>\n</ul>\n<ul>\n<li>Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.</li>\n</ul>\n<ul>\n<li>Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise-scale AI adoption, automation, or data engineering.</li>\n</ul>\n<ul>\n<li>Proven track record of leading large-scale, multi-team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.</li>\n</ul>\n<ul>\n<li>Strong architectural judgment and systems thinking, with the ability to balance short-term delivery with long-term sustainability, scalability, and 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The quality of Claude&#39;s next generation depends on the quality of the data we train it on , and the systems you build are what make that data possible. You&#39;ll own product surfaces end-to-end , from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day.\\n\\nYou don&#39;t need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. 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We&#39;ve contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models.\\n\\nOur work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models.\\n\\nThe RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production model.\\n\\nOur engineering teams build the environments, evaluation systems, data pipelines, and tooling that make all of this possible , from realistic agentic training environments and scalable code data generation to human data collection platforms and production training operations.\\n\\n### Responsibilities\\n\\n<em>   Build and extend web platforms for RL environment creation, management, and quality review , including environment configuration, versioning, and validation workflows\\n</em>   Develop vendor-facing interfaces and tooling that let external partners create, submit, and iterate on training environments with minimal friction\\n<em>   Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms that surface reward signal integrity issues early\\n</em>   Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking\\n<em>   Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure\\n</em>   Build and expand scalable code data generation pipelines, producing diverse programming tasks with robust reward signals across languages and difficulty levels\\n<em>   Develop onboarding automation and documentation tooling so new vendors and internal users ramp up in hours, not weeks\\n</em>   Partner closely with RL researchers, data operations, and vendor management to translate ambiguous requirements into well-scoped, well-designed products\\n\\n### Requirements\\n\\n<em>   Strong software engineering fundamentals and real full-stack range , you&#39;re comfortable owning a surface from database schema to frontend\\n</em>   Proficient in Python and a modern web stack (React, TypeScript, or similar)\\n<em>   Track record of shipping systems that solved a hard problem, not just shipped on time , e.g. you built the thing that made your team 10x faster, or the internal tool nobody thought was possible\\n</em>   Operate with high agency: you identify what needs to be done and drive it forward without waiting for a ticket\\n<em>   Found yourself wondering &quot;why isn&#39;t this moving faster?&quot; in previous roles , and then have done something about it\\n</em>   Care about UX and can build interfaces that are intuitive for both technical researchers and non-technical labelers\\n<em>   Communicate clearly with researchers, operations teams, and engineers, and can turn vague asks into well-scoped work\\n</em>   Thrive in a fast-moving environment where priorities shift, Claude is your pair programmer, and the next problem is often one nobody has solved before\\n<em>   Care about Anthropic&#39;s mission to build safe, beneficial AI and want your work to contribute directly to it\\n\\n### Nice to Have\\n\\n</em>   Built data collection, labeling, or annotation platforms , ideally ones that had to scale across many vendors or many task types\\n<em>   Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows\\n</em>   Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines\\n<em>   Familiarity with LLM training, fine-tuning, or evaluation workflows\\n</em>   Experience with async Python (Trio, asyncio) or high-throughput API design\\n<em>   Background in dashboards, monitoring, or observability tooling\\n</em>   Experience working directly with external vendors or partners on technical integrations\\n<em>   A background that isn&#39;t a straight line , e.g. math or physics into SWE, competitive programming, research into engineering, or a side project that outgrew its scope\\n\\n### Representative Projects\\n\\n</em>   Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks\\n<em>   Developing vendor onboarding automation that handles Docker registry access, API token management, and environment validation\\n</em>   Creating evaluation and observability dashboards that catch reward hacks, measure environment difficulty, and give real-time feedback during production training\\n<em>   Building environment quality review workflows that let researchers browse, grade, and provide feedback on training environments\\n</em>   Developing automated environment quality pipelines that validate correctness and difficulty calibration before environments hit production training\\n*   Building internal tools for browsing and analyzing training run results, environment statistics, and data collection progress</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_b2637f59-e14","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/5186067008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Modern web stack","React","TypeScript","Strong software engineering fundamentals","Full-stack range","Database schema","Frontend","Cloud infrastructure","Docker","CI/CD pipelines","LLM training","Fine-tuning","Evaluation workflows","Async Python","High-throughput API design","Dashboards","Monitoring","Observability tooling"],"x-skills-preferred":["Data collection","Labeling","Annotation platforms","Multi-tenant platforms","Role-based access","Audit trails","Vendor management workflows"],"datePosted":"2026-04-18T15:54:27.784Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Modern web stack, React, TypeScript, Strong software engineering fundamentals, Full-stack range, Database schema, Frontend, Cloud infrastructure, Docker, CI/CD pipelines, LLM training, Fine-tuning, Evaluation workflows, Async Python, High-throughput API design, Dashboards, Monitoring, Observability tooling, Data collection, Labeling, Annotation platforms, Multi-tenant platforms, Role-based access, Audit trails, Vendor management workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ea5e0d36-b62"},"title":"Staff Backend Product Software Engineer, Core","description":"<p>We&#39;re seeking a Staff Backend Product Software Engineer to join our Core team. 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Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more. Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem. Mentor and elevate engineers across the team and organisation , providing guidance on architecture, data modeling, system design, and engineering best practices. Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness. Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders , communicating risks, trade-offs, and opportunities clearly. 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Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.</p>\n<p>Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.</p>\n<p>Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.</p>\n<p><strong>About the Role</strong></p>\n<p>As part of the Cluster Orchestration team, you will play a key role in advancing CoreWeave&#39;s orchestration platform including SUNK (Slurm on Kubernetes) and beyond, our Kubernetes-native foundation that powers AI training and inference at scale.</p>\n<p>This is an opportunity to help shape one of the most critical layers of the AI cloud: ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters.</p>\n<p>By building the systems that eliminate infrastructure bottlenecks and create new orchestration capabilities, you will directly empower customers to innovate faster and push the boundaries of what&#39;s possible with AI.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<p>As a Staff Engineer, you will be a technical leader shaping the long-term strategy for CoreWeave&#39;s orchestration platform.</p>\n<p>You&#39;ll define architectural direction, own critical parts of the orchestration platform and other managed services, and drive cross-org initiatives in scheduling, quota enforcement, and scaling at hyperscale.</p>\n<p>You&#39;ll mentor senior engineers, establish org-wide best practices in reliability and observability, and ensure CoreWeave&#39;s orchestration layer evolves to meet the demands of next-generation AI workloads.</p>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>8+ years of software engineering experience.</li>\n</ul>\n<ul>\n<li>Proven track record designing and operating large-scale distributed systems in production.</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals and cloud-native development.</li>\n</ul>\n<ul>\n<li>Advanced proficiency in Go and distributed systems design and cloud-native development.</li>\n</ul>\n<ul>\n<li>Experience setting technical direction and influencing cross-team architecture.</li>\n</ul>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in CS, EE, or related field.</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Familiarity with orchestration and workflow technologies such as Ray, Kubeflow, Kueue, Istio, Knative, or Argo Workflows</li>\n</ul>\n<ul>\n<li>Deep expertise in Slurm/Kubernetes internals.</li>\n</ul>\n<ul>\n<li>Experience with distributed workloads, GPU-based applications, or ML pipelines.</li>\n</ul>\n<ul>\n<li>Knowledge of scheduling concepts like quota enforcement, pre-emption, and scaling strategies.</li>\n</ul>\n<ul>\n<li>Exposure to reliability practices including SLOs, alarms, and post-incident reviews.</li>\n</ul>\n<ul>\n<li>Experience with AI infrastructure and workloads (ML training, inference, or HPC).</li>\n</ul>\n<ul>\n<li>Ability to mentor senior engineers and elevate organizational standards.</li>\n</ul>\n<p><strong>Why CoreWeave?</strong></p>\n<p>At CoreWeave, we work hard, have fun, and move fast! 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benefits offered with a holistic emphasis on employee well-being.</li>\n</ul>\n<ul>\n<li>Typical starting salary range for this role is $154,800-$195,600 USD.</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_a438f945-411","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7794016","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$154,800-$195,600 USD","x-skills-required":["Software engineering","Public cloud","Managed Kubernetes services","Infrastructure-as-Code tooling","Containerized services","System administration","Linux on distributed systems"],"x-skills-preferred":["Golang","Crossplane","Terraform","Docker","Elastic 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The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $204,000-$255,000 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_e5766bab-aea","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7554915","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$204,000-$255,000 USD","x-skills-required":["software engineering","technical leadership","project management","product strategy","UX design","code review","production operations","team collaboration","problem-solving"],"x-skills-preferred":["marketing technology","machine learning","growth marketing","creative"],"datePosted":"2026-04-18T15:53:12.894Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, technical leadership, project management, product strategy, UX design, code review, production operations, team collaboration, problem-solving, marketing technology, machine learning, growth marketing, creative","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":204000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b0e99a49-d99"},"title":"Senior Engineering Manager - Infrastructure","description":"<p>About Us</p>\n<p>We&#39;re looking for an Infrastructure Senior Engineering Manager to help us build a seamless, reliable platform for the dbt platform across AWS, Azure, and GCP.</p>\n<p>Our team&#39;s mission is to create a seamless developer experience by providing a stable, observable, and easy-to-use infrastructure platform. 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You&#39;ll collaborate across teams, tackle real infrastructure challenges, and help shape the future of the multi-cloud dbt platform.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build, lead, and coach a team of 8-12 engineers to manage the infrastructure for the dbt platform and report to the Director of Infrastructure</li>\n<li>Empower your team to achieve big goals by giving them product and business context and supporting team ownership of the roadmap, product development lifecycle, and technical excellence</li>\n<li>Dive deep into our product to frame tradeoffs and make decisions about what, how, and when we build</li>\n<li>Partner with Product Marketing, Solutions Architecture, and Customer Support to build delightful migration experiences, helping our customers seamlessly move off legacy deployments</li>\n<li>Coach engineers in product thinking, quality, and software engineering. Build individualized growth plans and match interests and capabilities to team goals</li>\n<li>Work with peer managers to evolve organizational processes like product training, technical decision making, project execution, and planning</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years in people management with a software or infrastructure engineering team</li>\n<li>Experience managing senior individual contributors (Staff+ level)</li>\n<li>Experience supporting a cloud-based infrastructure with complex resource requirements and global deployment strategy</li>\n<li>Deep understanding of Terraform and cloud infrastructure state management</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience leading teams through all parts of the product development lifecycle</li>\n<li>Have successfully partnered across teams and departments to coordinate cross-cutting initiatives</li>\n<li>You are interested in our mission and values. You are inspired to drive progress in the data and analytics ecosystem</li>\n</ul>\n<p><strong>Compensation &amp; Benefits</strong></p>\n<p>Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs&#39; total rewards during your interview process.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<p>The typical starting salary range for this role is: $223,000 - $270,000 USD</p>\n<p>The typical starting salary range for this role in the select locations listed is: $248,000 - $300,000 US</p>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<p><strong>Our Hiring Process</strong></p>\n<ul>\n<li>Interview with a Talent Acquisition Partner (30 Mins)</li>\n<li>Technical Interview with Hiring Manager (60 Mins)</li>\n<li>Team Interviews ( 3 rounds, 45 Mins each)</li>\n<li>Final Values Interview (30 Mins)</li>\n</ul>\n<p>If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!</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_b0e99a49-d99","directApply":true,"hiringOrganization":{"@type":"Organization","name":"dbt Labs","sameAs":"https://www.getdbt.com/","logo":"https://logos.yubhub.co/getdbt.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dbtlabsinc/jobs/4686309005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$223,000 - $270,000 USD","x-skills-required":["Terraform","Cloud infrastructure state management","People management","Software engineering","Infrastructure engineering"],"x-skills-preferred":["Product development lifecycle","Technical decision making","Project execution","Process improvement"],"datePosted":"2026-04-18T15:53:12.296Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Terraform, Cloud infrastructure state management, People management, Software engineering, Infrastructure engineering, Product development lifecycle, Technical decision making, Project execution, Process improvement","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":223000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_74be15a1-bce"},"title":"Software Engineer, Inference Deployment","description":"<p>Our mandate is to make inference deployment boring and unattended. We serve Claude to millions of users across GPUs, TPUs, and Trainium , and every model update must reach production safely, quickly, and without disrupting service. As a Software Engineer on the Launch Engineering team, you&#39;ll design and build the deployment infrastructure that moves inference code from merge to production.</p>\n<p>This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic , your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You&#39;ll build systems that navigate these constraints , orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions</li>\n</ul>\n<ul>\n<li>Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes</li>\n</ul>\n<ul>\n<li>Extend deployment observability , dashboards and tooling that answer &quot;what code is running in production,&quot; &quot;where is my commit,&quot; and &quot;what validation passed for this deploy&quot;</li>\n</ul>\n<ul>\n<li>Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism</li>\n</ul>\n<ul>\n<li>Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity</li>\n</ul>\n<ul>\n<li>Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement</li>\n</ul>\n<ul>\n<li>Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>5+ years of experience building deployment, release, or delivery infrastructure at scale</li>\n</ul>\n<ul>\n<li>Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines</li>\n</ul>\n<ul>\n<li>Experience with deployment systems where resource constraints shape the design , whether that&#39;s fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows</li>\n</ul>\n<ul>\n<li>A track record of building automation that measurably improves deployment velocity and reliability</li>\n</ul>\n<ul>\n<li>Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration</li>\n</ul>\n<ul>\n<li>Comfort working across the stack , from backend services and databases to CLI tools and web UIs</li>\n</ul>\n<ul>\n<li>Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners</li>\n</ul>\n<p>Strong Candidates May Also Have:</p>\n<ul>\n<li>Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)</li>\n</ul>\n<ul>\n<li>Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)</li>\n</ul>\n<ul>\n<li>Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback</li>\n</ul>\n<ul>\n<li>Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)</li>\n</ul>\n<ul>\n<li>Experience with Python and/or Rust in production systems</li>\n</ul>\n<p>The annual compensation range for this role is $320,000-$485,000 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_74be15a1-bce","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/5111745008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$485,000 USD","x-skills-required":["deployment 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Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches.</p>\n<p>You&#39;ll build the infrastructure that makes AI-native education real , not as a concept, but as a working system that people interact with every day. You&#39;ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems.</p>\n<p>This is an engineering role for someone who genuinely cares about how people learn. You&#39;ll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else&#39;s spec. You&#39;ll interface closely with Anthropic&#39;s security, infrastructure, and data teams, and you&#39;ll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.</p>\n<p>The annual compensation range for this role is $300,000-$405,000 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_5d41c12e-000","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/5098565008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["software engineering","full-stack engineering","backend systems","databases","APIs","authentication","reliability","infrastructure","AI tools","learning platforms","credentialing systems","educational technology products"],"x-skills-preferred":["experience building or significantly contributing to learning platforms","background in or exposure to learning science","instructional design","educational research","experience with SSO/identity","badging standards","LTI integrations","familiarity with building systems that incorporate LLM capabilities"],"datePosted":"2026-04-18T15:52:52.502Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, full-stack engineering, backend systems, databases, APIs, authentication, reliability, infrastructure, AI tools, learning platforms, credentialing systems, educational technology products, experience building or significantly contributing to learning platforms, background in or exposure to learning science, instructional design, educational research, experience with SSO/identity, badging standards, LTI integrations, familiarity with building systems that incorporate LLM capabilities","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4cd803e8-1fa"},"title":"Senior Staff Machine Learning Engineer","description":"<p>We&#39;re seeking a Senior Staff Machine Learning Engineer to lead our Relevance team and take our search systems to the next level. 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As a manager, you will be responsible for building and executing a long-term roadmap to improve the platform, features, and runtimes supporting interactive and animated experiences in Figma products like Prototyping and Slides. You will also hire, manage, support and develop a team of engineers, including staff level engineers.</p>\n<p>You will partner with product and engineering leadership to set strategy, priorities, and mission for teams and projects. You will roll up your sleeves as needed to get involved in the technical details of solving some of the most complex technical challenges at Figma. You will establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization.</p>\n<p>You will grow your career in an engaged and creative engineering community. Figma is committed to building an inclusive and diverse team and culture. 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You will be part of a collaborative, interdisciplinary team building our biological software.</p>\n<p>The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.</p>\n<p>We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. 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By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p>Tens of thousands of the world&#39;s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.</p>\n<p>Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.</p>\n<p>We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.</p>\n<p>We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p>\n<p>Engineering</p>\n<p>Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration.</p>\n<p>We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment.</p>\n<p>It’s an environment where engineering is a craft, and builders become leaders.</p>\n<p>What you’ll do</p>\n<p>You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration.</p>\n<p>The ideal candidate is a seasoned engineering leader with a strong background in driving growth.</p>\n<p>Where you’ll work</p>\n<p>This role will be based in our San Francisco office.</p>\n<p>We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.</p>\n<p>We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday.</p>\n<p>Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday.</p>\n<p>As a perk, we also have up to four weeks per year of fully remote work!</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.</li>\n</ul>\n<ul>\n<li>Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.</li>\n</ul>\n<ul>\n<li>Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.</li>\n</ul>\n<ul>\n<li>Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.</li>\n</ul>\n<ul>\n<li>Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.</li>\n</ul>\n<ul>\n<li>Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.</li>\n</ul>\n<ul>\n<li>Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.</li>\n</ul>\n<ul>\n<li>3+ years of progressive experience in Salesforce development and architecture.</li>\n</ul>\n<ul>\n<li>Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.</li>\n</ul>\n<ul>\n<li>Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.</li>\n</ul>\n<ul>\n<li>Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.</li>\n</ul>\n<ul>\n<li>A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.</li>\n</ul>\n<ul>\n<li>A passion for leveraging AI to improve both team productivity and the products you build.</li>\n</ul>\n<p>Bonus points</p>\n<ul>\n<li>Salesforce certifications (e.g., Platform Developer II, Application/System Architect).</li>\n</ul>\n<ul>\n<li>Experience managing remote or distributed engineering teams.</li>\n</ul>\n<ul>\n<li>Former founders welcome.</li>\n</ul>\n<ul>\n<li>Experience building Slack applications and integrations.</li>\n</ul>\n<ul>\n<li>Experience with B2B growth.</li>\n</ul>\n<ul>\n<li>You have started your own technology venture or were a foundational engineering member of an early-stage start up.</li>\n</ul>\n<p>We value entrepreneurial spirit &amp; scrappiness!</p>\n<ul>\n<li>You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.</li>\n</ul>\n<p>Compensation</p>\n<p>The expected salary range for this role is $300,000 - $375,000.</p>\n<p>However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.</p>\n<p>Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</p>\n<p>Brex LLC is a wholly owned subsidiary of Capital One, N.A.</p>\n<p>Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data.</p>\n<p>Brex recruiters will only reach out via LinkedIn or email with a brex.com domain.</p>\n<p>Any outreach claiming to be from Brex via other sources should be ignored.</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_6e9525ef-91b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8299907002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $375,000","x-skills-required":["Software engineering","Salesforce development","Apex","Lightning Web Components","SOQL","Platform APIs","DevOps","CI/CD","Source control","Release management","Code quality","System governance"],"x-skills-preferred":["AI","Machine learning","Data science","Cloud computing","Cybersecurity"],"datePosted":"2026-04-18T15:51:57.309Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Salesforce development, Apex, Lightning Web Components, SOQL, Platform APIs, DevOps, CI/CD, Source control, Release management, Code quality, System governance, AI, Machine learning, Data science, Cloud computing, Cybersecurity","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":375000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_272bd1ad-99d"},"title":"Software Engineer, Sandboxing","description":"<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s sandboxing infrastructure enables Claude to safely execute code and interact with external systems. 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You will work directly with our most senior technical leaders, program managers, and customers to define, build, and deliver cutting-edge networking capabilities that impact national security.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Technical Vision &amp; Architecture: Own and define the comprehensive technical architecture, design principles, and engineering roadmap for complex, distributed network systems.</li>\n<li>System Integrity &amp; Risk Management: Serve as the ultimate technical arbiter, ensuring the integrity, reliability, security, and survivability of our network systems in contested and high security environments.</li>\n<li>Engineering Leadership &amp; Mentorship: Provide decisive technical leadership and guidance to large, multi-disciplinary engineering teams (Mechanical, Electrical, Software) to deliver high quality products that can be manufactured at scale.</li>\n<li>Strategic Technical Guidance: Translate strategic objectives and customer needs into 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We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.</p>\n<p>AirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb&#39;s AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests.</p>\n<p>As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. 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We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members.</p>\n<p>A Typical Day:</p>\n<ul>\n<li>Develop high-quality data assets to satisfy a wide range of use-cases</li>\n<li>Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements</li>\n<li>Collaborate and build strong partnerships with other data practitioners throughout Airbnb</li>\n<li>Influence the trajectory of data in decision making</li>\n<li>Improve trust in our data by championing for data quality across the stack</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>9+ years of experience with a BS/Masters or 6+ years with a PhD</li>\n<li>Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala</li>\n<li>Expertise using business intelligence and reporting tools like Superset and Tableau</li>\n<li>Expertise in large-scale distributed data processing frameworks like Presto or Spark</li>\n<li>Expertise in data modeling for data warehouses and/or metrics repositories</li>\n<li>Experience with an ETL framework like Airflow</li>\n<li>Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders</li>\n<li>Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies</li>\n<li>Experience exploring and leveraging LLM AI’s in everyday tasks (coding, documentation, etc…)</li>\n<li>Strong capability to forge trusted partnerships across working teams</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Scaling data tasks via automation</li>\n<li>Previous experience in large-scale cloud-based software engineering or system architecture</li>\n<li>Experience with AB experimentation</li>\n<li>Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations</li>\n<li>Designing and/or leveraging high-quality data visualization tools</li>\n</ul>\n<p>Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.</p>\n<p>Our Commitment To Inclusion &amp; Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.</p>\n<p>How We&#39;ll Take Care of You: Our job titles may span more than one career level. 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We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nApply using this link. The next cohort of Anthropic fellows starts on July 20, 2026. Apply by April 26, 2026 to be considered for this cohort. We will continue accepting applications for later cohorts on a rolling basis. In exceptional circumstances, we may be able to accommodate fellows starting outside of usual cohort timelines.\\n\\nThis page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.\\n\\nAnthropic Fellows Program overview\\n\\nThe Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.\\n\\nFellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.\\n\\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.\\n\\nWhat to expect\\n\\n- 4 months of full-time research \\n\\n- Direct mentorship from Anthropic researchers \\n\\n- Access to a shared workspace (in either Berkeley, California or London, UK)\\n\\n- Connection to the broader AI safety and security research community\\n\\n- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)\\n\\n- Funding for compute (~$15k/month) and other research expenses\\n\\nInterview process\\n\\nThe interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion. \\n\\nCompensation\\n\\nThe expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).\\n\\nFellows workstreams\\n\\nDue to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.\\n\\nSome of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:\\n\\n- AI Safety Fellows\\n\\n- AI Security Fellows\\n\\n- ML Systems &amp; Performance Fellows\\n\\n- Reinforcement Learning Fellows\\n\\n- Economics &amp; Societal Impacts Fellows\\n\\nAcross the workstreams, you may be a good fit if you:\\n\\n- Are motivated by making sure AI is safe and beneficial for society as a whole\\n\\n- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic\\n\\n- Have a strong technical background in computer science, mathematics, or physics\\n\\n- Thrive in fast-paced, collaborative environments\\n\\n- Can implement ideas quickly and communicate clearly\\n\\nStrong candidates may also have:\\n\\n- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)\\n\\n- Experience in areas of research or engineering related to their workstream\\n\\nCandidates must be:\\n\\n- Fluent in Python programming\\n\\n- Available to work full-time on the Fellows program\\n\\nML Systems &amp; Performance Fellows\\n\\nMentors, research areas, &amp; past projects\\n\\nFellows will undergo a project selection &amp; mentor matching process. Potential mentors include:\\n\\n- Alwin Peng\\n\\n- Zygi Straznickas\\n\\nNote: You may research mentors&#39; prior work, but all applications must go through the official form, not the mentors.\\n\\nFor a past example of an engineering-heavy project, see:\\n\\n- AI agents find $4.6M in blockchain smart contract exploits\\n\\nProjects in this workstream may include:\\n\\n- Building a CPU simulator for accelerator workloads\\n\\n- Adding backends for different accelerators on an open source project\\n\\n- Building on demand infrastructure for other infrastructure heavy fellows projects \\n\\n- Building complex synthetic data or environment pipelines\\n\\nUnique candidate criteria\\n\\nYou might be a particularly great fit for this workstream if you:\\n\\n- Have strong software engineering skills with experience building complex ML systems\\n\\n- Can balance research exploration with engineering rigor and operational reliability\\n\\n- Enjoy collaborating across research and engineering disciplines\\n\\n- Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)\\n\\n- Have experience with training, fine-tuning, or evaluating large language models\\n\\n- Are adept at analyzing and debugging model training processes\\n\\nLogistics\\n\\nLogistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.\\n\\nWorkspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.\\n\\nVisa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.\\n\\nProgram Duration: The program runs for 4 months, full-time. If you can&#39;t commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.\\n\\nPlease note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.\\n\\nApplications and interviews are managed by Constellation, our official recruiting partner for this program. Constellation also runs the Berkeley workspace that hosts fellows. Clicking &quot;Apply here&quot; will redirect you to Constellation&#39;s application portal. You can expect to receive emails from Constellation with application updates.</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_062d8648-c7c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183051008","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python programming","AI research","Machine learning","Software engineering","Research and development","Collaboration","Communication","Problem-solving","Analytical thinking"],"x-skills-preferred":["Large language models","Distributed systems","High-performance computing","Trading","Synthetic data","Environment pipelines"],"datePosted":"2026-04-18T15:50:38.472Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python programming, AI research, Machine learning, Software engineering, Research and development, Collaboration, Communication, Problem-solving, Analytical thinking, Large language models, Distributed systems, High-performance computing, Trading, Synthetic data, Environment pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c916726e-d71"},"title":"Principal Software Engineer (Networking) - Platform","description":"<p>As a Principal Software Engineer (Networking) - Platform, you will lead technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. 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