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Vision</strong></p>\n<ul>\n<li>Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.</li>\n</ul>\n<ul>\n<li>Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.</li>\n</ul>\n<ul>\n<li>Core Agent Capabilities Development:</li>\n</ul>\n<p><strong>Advanced Knowledge Retrieval</strong>: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.</p>\n<p><strong>Data Analysis</strong>: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.</p>\n<p><strong>Multimodal Intelligence</strong>: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent&#39;s knowledge base.</p>\n<p><strong>Architecture &amp; Design</strong>: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.</p>\n<p><strong>Technical Excellence</strong>: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.</p>\n<p><strong>Team Leadership &amp; Mentorship</strong></p>\n<ul>\n<li>Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.</li>\n</ul>\n<ul>\n<li>Recruiting &amp; Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.</li>\n</ul>\n<ul>\n<li>Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.</li>\n</ul>\n<ul>\n<li>8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.</li>\n</ul>\n<ul>\n<li>Deep expertise in Generative AI and Large Language Models (LLMs).</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.</li>\n</ul>\n<ul>\n<li>Experience with large-scale distributed systems and real-time data processing.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Advanced degree (Master&#39;s or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.</li>\n</ul>\n<ul>\n<li>Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.</li>\n</ul>\n<ul>\n<li>Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.</li>\n</ul>\n<ul>\n<li>Experience with vector databases and advanced retrieval techniques.</li>\n</ul>\n<ul>\n<li>A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.</li>\n</ul>\n<ul>\n<li>Experience driving cross-team technical initiatives that have delivered significant business impact.</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. 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_78eea632-7b6","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/4623590005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Generative AI","Large Language Models (LLMs)","Agentic Frameworks","Machine Learning","Deep Learning","Applied Research","Distributed Systems","Real-time Data Processing"],"x-skills-preferred":["Text-to-SQL Systems","Multimodal AI","Reinforcement Learning (RL)","Reasoning and Planning","Agentic Systems","Vector Databases","Advanced Retrieval Techniques"],"datePosted":"2026-04-18T15:59:45.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Large Language Models (LLMs), Agentic Frameworks, Machine Learning, Deep Learning, Applied Research, Distributed Systems, Real-time Data Processing, Text-to-SQL Systems, Multimodal AI, Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems, Vector Databases, Advanced Retrieval Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_683a40cb-69e"},"title":"Machine Learning Research Scientist / Research Engineer, Post-Training","description":"<p>We are seeking a Research Scientist/Research Engineer to join our team. As a Research Scientist/Research Engineer, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. 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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_683a40cb-69e","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/4528009005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["deep learning","reinforcement learning","large-scale model fine-tuning","post-training techniques","RLHF","preference modeling","instruction tuning"],"x-skills-preferred":["published research","customer-facing role"],"datePosted":"2026-04-18T15:59:43.190Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, reinforcement learning, large-scale model fine-tuning, post-training techniques, RLHF, preference modeling, instruction tuning, published research, customer-facing role","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_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. 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Our platform helps teams bring ideas to life,whether you&#39;re brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you&#39;re excited to shape the future of design and collaboration, join us! The Figma Research team is hiring a top-tier researcher to support our core product, Figma Design, and actively develop and execute research to drive scale, tap new opportunities, and ensure Figma continues pushing innovation in design and production tooling. 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We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’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_67be21a8-a15","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/5651744004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169,000-$250,000 USD","x-skills-required":["UX research","User insights","Research methodologies","Qualitative and quantitative techniques","Product challenges","Opportunity identification","Concept testing","Feature iterations","Assumption identification","Prioritization","Right-sized research approaches","Consensus building","Executive team members","Cross-disciplinary partners","User story articulation","AI-powered features","Research on AI applications"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:29.350Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"UX research, User insights, Research methodologies, Qualitative and quantitative techniques, Product challenges, Opportunity identification, Concept testing, Feature iterations, Assumption identification, Prioritization, Right-sized research approaches, Consensus building, Executive team members, Cross-disciplinary partners, User story articulation, AI-powered features, Research on AI applications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":169000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ce50312d-7f5"},"title":"Optical Systems Engineer","description":"<p>Anduril Industries is a defence technology company with a mission to transform U.S. and allied military capabilities with advanced technology. We are seeking a Systems Engineer to join our Imaging team, which develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies.</p>\n<p>The successful candidate will be responsible for defining active EO/IR system architectures, performing radiometric performance modeling, and laboratory, ground, and flight testing. They will also model atmospheric and environmental effects for land, sea, and air targets, and leverage their analyses to inform system-level architectural trades.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Defining system architectures via detailed trade studies and analyses</li>\n<li>Adapting or deriving physics-based models of sensor system performance and deriving requirements based on those models</li>\n<li>Taking ownership over the development of prototype sensor systems in a lab environment</li>\n<li>Supporting both laboratory-based and field-based experiments and demonstrations</li>\n<li>Engaging technically with the hardware, software, and mission teams to define, integrate, and deliver high-performance systems to our customers</li>\n<li>Validating models against laboratory and real-world data</li>\n<li>Coordinating and communicating with both external &amp; internal stakeholders with varying degrees of technical background</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>Model development and validation in one or more domains relevant to remote sensing</li>\n<li>Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each</li>\n<li>Experience in system design and development from initial concept through test and delivery to customer</li>\n<li>Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment</li>\n<li>Willingness to travel to test sites, as needed</li>\n<li>Must be able to obtain and hold a U.S. security clearance</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Knowledge of current and next-generation advanced sensing systems and platforms</li>\n<li>Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar)</li>\n<li>Experience with laser systems, including opto-mechanical scanning and beam steering techniques</li>\n<li>Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies</li>\n<li>Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.)</li>\n<li>Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM)</li>\n</ul>\n<p>Salary: $166,000 - $220,000 USD per year, plus highly competitive equity grants and top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.</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_ce50312d-7f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5037784007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000 - $220,000 USD per year","x-skills-required":["Model development and validation","System design and development","Laboratory skills","Opto-electrical test and measurement equipment","U.S. security clearance"],"x-skills-preferred":["Current and next-generation advanced sensing systems and platforms","Active and passive sensing domain experience","Laser systems","Electro-mechanical control systems","LiDAR/Radar signal processing techniques"],"datePosted":"2026-04-18T15:58:12.732Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lexington, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Model development and validation, System design and development, Laboratory skills, Opto-electrical test and measurement equipment, U.S. security clearance, Current and next-generation advanced sensing systems and platforms, Active and passive sensing domain experience, Laser systems, Electro-mechanical control systems, LiDAR/Radar signal processing techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b05b9f90-7d3"},"title":"Data Center Engineer, Resource Efficiency – Compute Supply","description":"<p><strong>About the Role</strong></p>\n<p>As a Power &amp; 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Experience with reliability engineering, SLA development, and failure-mode analysis.</li>\n</ul>\n<ul>\n<li>Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.</li>\n</ul>\n<ul>\n<li>Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.</li>\n</ul>\n<ul>\n<li>Exposure to accelerator deployments and their power management interfaces strongly preferred.</li>\n</ul>\n<ul>\n<li>Demand response, grid interaction, or behind-the-meter generation experience is a plus.</li>\n</ul>\n<ul>\n<li>Ability to translate between infrastructure engineering, software teams, and external partners.</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.</li>\n</ul>\n<ul>\n<li>5+ years of experience in data center infrastructure or facility engineering.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with data center power distribution and cooling system architectures.</li>\n</ul>\n<ul>\n<li>Experience building or operating software-based power management, load scheduling, or control systems.</li>\n</ul>\n<ul>\n<li>Proficiency in Python or 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Your work will directly shape how our models understand and optimize for what humans actually want , enabling Claude to be more useful, more reliable, and better aligned with human values.</p>\n<p>This role focuses on pushing the frontier of reward modeling for large language models. You&#39;ll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking. You&#39;ll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.</p>\n<p>We&#39;re looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You&#39;ll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources. Your work will directly advance the science of how we train AI systems to be both highly capable and safe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead research on novel reward model architectures and training approaches for RLHF</li>\n<li>Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability</li>\n<li>Research techniques to detect, characterize, and mitigate reward hacking and specification gaming</li>\n<li>Design experiments to understand reward model generalization, robustness, and failure modes</li>\n<li>Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines</li>\n<li>Contribute to research publications, blog posts, and internal documentation</li>\n<li>Mentor other researchers and help build institutional knowledge around reward modeling</li>\n</ul>\n<p>You may be a good fit if you</p>\n<ul>\n<li>Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning</li>\n<li>Have experience training and evaluating reward models for large language models</li>\n<li>Are comfortable designing and running large-scale experiments with significant computational resources</li>\n<li>Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor</li>\n<li>Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences</li>\n<li>Care deeply about building AI systems that are both highly capable and safe</li>\n</ul>\n<p>Strong candidates may also</p>\n<ul>\n<li>Have published research on reward modeling, preference learning, or RLHF</li>\n<li>Have experience with LLM-as-judge approaches, including calibration and reliability challenges</li>\n<li>Have worked on reward hacking, specification gaming, or related robustness problems</li>\n<li>Have experience with constitutional AI, debate, or other scalable oversight approaches</li>\n<li>Have contributed to production ML systems at scale</li>\n<li>Have familiarity with interpretability techniques as applied to understanding reward model behavior</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$500,000 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_b1be4c11-417","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/5024835008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$500,000 USD","x-skills-required":["reward modeling","RLHF","LLM-based evaluation and grading","rubric-driven approaches","reward hacking","specification gaming","large-scale experiments","computational resources","research and engineering","collaborative research","complex ideas communication","AI systems development"],"x-skills-preferred":["published research","LLM-as-judge approaches","calibration and reliability challenges","constitutional AI","debate","scalable oversight approaches","production ML systems","interpretability techniques"],"datePosted":"2026-04-18T15:57:50.755Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel Required) | San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"reward modeling, RLHF, LLM-based evaluation and grading, rubric-driven approaches, reward hacking, specification gaming, large-scale experiments, computational resources, research and engineering, collaborative research, complex ideas communication, AI systems development, published research, LLM-as-judge approaches, calibration and reliability challenges, constitutional AI, debate, scalable oversight approaches, production ML systems, interpretability techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_467be5c4-940"},"title":"Machine Learning Engineer","description":"<p>We&#39;re looking for a Machine Learning Engineer to join our Ads Engineering team. As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems, intelligent advertising systems, and large-scale machine learning pipelines.</p>\n<p>Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You&#39;ll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>\n<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n<li>Improve system performance across latency, throughput, and model quality metrics</li>\n<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n<li>Experience improving measurable metrics through applied machine learning</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>\n<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>\n<li>Experience working with real-time systems and low-latency production environments</li>\n<li>Background in feature engineering, model optimization, and production monitoring</li>\n<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>\n<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>\n</ul>\n<p>Potential Teams:</p>\n<ul>\n<li>Ads Measurement Modeling</li>\n<li>Ads Targeting and Retrieval</li>\n<li>Advertiser Optimization</li>\n<li>Ads Marketplace Quality</li>\n<li>Ads Creative Effectiveness</li>\n<li>Ads Foundational Representations</li>\n<li>Ads Content Understanding</li>\n<li>Ads Ranking</li>\n<li>Feed Relevance</li>\n<li>Search and Answers Relevance</li>\n<li>ML Understanding</li>\n<li>Notifications Relevance</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</p>\n<p>The base salary range for this position is: $185,800-$260,100 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_467be5c4-940","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7131932","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$185,800-$260,100 USD","x-skills-required":["Python","Java","Go","PyTorch","TensorFlow","XGBoost","Random Forests","Regressions","Transformers","CNNs","GNNs","Spark","Kafka","Ray","Airflow","BigQuery","Redis"],"x-skills-preferred":["Recommender systems","Search/ranking systems","Advertising/auction systems","Large-scale representation learning","Multimodal embedding systems","Distributed systems","Large-scale data processing","Real-time systems","Low-latency production environments","Feature engineering","Model optimization","Production monitoring","LLM/Gen AI techniques"],"datePosted":"2026-04-18T15:57:49.850Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Go, PyTorch, TensorFlow, XGBoost, Random Forests, Regressions, Transformers, CNNs, GNNs, Spark, Kafka, Ray, Airflow, BigQuery, Redis, Recommender systems, Search/ranking systems, Advertising/auction systems, Large-scale representation learning, Multimodal embedding systems, Distributed systems, Large-scale data processing, Real-time systems, Low-latency production environments, Feature engineering, Model optimization, Production monitoring, LLM/Gen AI techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185800,"maxValue":260100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90312625-68e"},"title":"Senior Software Engineer - Traffic Management","description":"<p>About Us</p>\n<p>At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</p>\n<p>As a member of the Traffic Management team, you will build and extend various traffic management and supporting systems. You will work closely with Network Engineering, Product Engineering, Network Strategy, and other teams to collaborate on ambitious initiatives to make the best use of Cloudflare’s global network.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Build and extend various traffic management and supporting systems</li>\n<li>Work closely with Network Engineering, Product Engineering, Network Strategy, and other teams</li>\n<li>Participate in all stages of the software development lifecycle</li>\n<li>Work with a wide range of technologies and programming languages</li>\n<li>Use AI-powered tools and systems as part of your daily workflow</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Minimum of 6 years of engineering experience with networking and/or distributed systems</li>\n<li>Systems-level programming experience in Go, Python, Rust, C, or C++</li>\n<li>Strong knowledge of networking protocols in Layers 3 and 4 of the OSI Model</li>\n<li>Knowledge of HTTP, TLS, and CDN networks</li>\n<li>Experience in implementing secure and highly-available distributed systems</li>\n<li>Strong ability to debug issues in complex systems</li>\n<li>Strong collaboration and communication skills across teams and functions</li>\n<li>Experience participating in an on-call rotation</li>\n<li>Willingness to adopt and integrate AI tools and systems into your engineering workflow</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</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_90312625-68e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7463839","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Go","Python","Rust","C","C++","Networking protocols","HTTP","TLS","CDN networks","Distributed systems","AI-powered tools"],"x-skills-preferred":["Traffic engineering","Automated load balancing","Traffic prioritization","Statistical-analysis techniques","Control theory","TCP/IP","Internet routing"],"datePosted":"2026-04-18T15:57:34.283Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, Rust, C, C++, Networking protocols, HTTP, TLS, CDN networks, Distributed systems, AI-powered tools, Traffic engineering, Automated load balancing, Traffic prioritization, Statistical-analysis techniques, Control theory, TCP/IP, Internet routing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_769c0070-5b2"},"title":"Research Scientist, Agent Robustness","description":"<p>As a Research Scientist working on Agent Robustness, you will work on the fundamental challenges of building AI agents that are safe and aligned with humans.</p>\n<p>For example, you might:</p>\n<ul>\n<li>Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;</li>\n<li>Design and build harnesses to test AI agents&#39; tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;</li>\n<li>Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;</li>\n<li>Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n<li>Practical experience conducting technical research collaboratively;</li>\n<li>Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;</li>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;</li>\n<li>Experience with red-teaming, prompt injection, or adversarial testing of AI systems.</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you&#39;re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn&#39;t perfectly align with every requirement.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_769c0070-5b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675684005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance","Practical experience conducting technical research collaboratively","Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches","A track record of published research in machine learning, particularly in generative AI","At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development"],"x-skills-preferred":["Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools","Experience with red-teaming, prompt injection, or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:57:29.447Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance, Practical experience conducting technical research collaboratively, Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches, A track record of published research in machine learning, particularly in generative AI, At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development, Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools, Experience with red-teaming, prompt injection, or adversarial testing of AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_69596d11-8ad"},"title":"Field Engineer","description":"<p>Anduril Industries is seeking a Field Engineer to join the Imaging team. The successful candidate will be responsible for integrating and testing EO/IR cameras at customer facilities. This will involve integrating sensors onto aircraft, performing health and status checkouts, managing safety standards and best practices around flight lines, and debugging issues as needed.</p>\n<p>The Field Engineer will also be responsible for testing and debugging sensors that are in the build and characterization phase of production. They will work closely with the engineering team to identify and troubleshoot system hardware and software issues.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Planning, leading, and managing the integration and testing of high-performance imaging systems from first build through field deployment.</li>\n<li>Travelling to test sites and working with internal and external stakeholders.</li>\n<li>Performing hands-on integration of the electrical, firmware, mechanical, and software components of the system and providing feedback to the engineering team.</li>\n<li>Identifying and troubleshooting system hardware and software issues.</li>\n<li>Managing prototyping lab facility and activities, including test hardware, test processes, and procedures.</li>\n</ul>\n<p>The ideal candidate will have a strong background in system design and development, with experience in laboratory skills, such as design of experiments. They will also have a degree in a relevant technical discipline and be able to work independently with minimal oversight in a fast-paced, dynamic environment.</p>\n<p>Preferred qualifications include experience with advanced sensing domain, image processing techniques, and analytical toolchains/languages, such as MATLAB, Python, or C++.</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_69596d11-8ad","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5105245007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["System design and development","Laboratory skills","Design of experiments","Electrical engineering","Optical engineering","Mechanical engineering","Thermal management"],"x-skills-preferred":["Advanced sensing domain","Image processing techniques","Analytical toolchains/languages","MATLAB","Python","C++"],"datePosted":"2026-04-18T15:57:27.700Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lexington, Massachusetts, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"System design and development, Laboratory skills, Design of experiments, Electrical engineering, Optical engineering, Mechanical engineering, Thermal management, Advanced sensing domain, Image processing techniques, Analytical toolchains/languages, MATLAB, Python, C++","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f0f66ce3-d78"},"title":"Senior GenAI Research Engineer - Optimization and Kernels","description":"<p>As a research engineer on the Scaling team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art.</p>\n<p>You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. Your goal will be to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Driving performance improvements through advanced optimization techniques including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization for training-specific patterns</li>\n</ul>\n<ul>\n<li>Designing, implementing, and optimizing high-performance GPU kernels for training workloads (e.g., attention mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA architectures</li>\n</ul>\n<ul>\n<li>Designing and implementing distributed training frameworks for large language models, including parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations</li>\n</ul>\n<ul>\n<li>Profiling, debugging, and optimizing end-to-end training workflows to identify and resolve performance bottlenecks, applying memory optimization techniques like activation checkpointing, gradient sharding, and mixed precision training</li>\n</ul>\n<p>We look for candidates with a strong background in computer science or a related field, hands-on experience writing and tuning CUDA kernels for ML training applications, and a deep understanding of parallelism techniques and memory optimization strategies for large-scale model training.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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You will plan and execute strategies and sales tactics in the following areas: generating new business, territory planning, pre-request for proposal prospecting, relationship development, pricing, presentation and delivery, negotiations, closing and executing contracts.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Establish a vision and plan to guide your long-term approach to net new logo pipeline generation.</li>\n<li>Consistently deliver ARR revenue targets to support 40% YOY growth – dedication to the number and to deadlines.</li>\n<li>Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings.</li>\n<li>Land, adopt, expand, and deepen sales opportunities with Enterprise accounts in your Region.</li>\n<li>Explore the full spectrum of relationships and business possibilities across the client’s entire org chart.</li>\n<li>Become known as a thought-leader in Okta’s platform.</li>\n<li>Expand relationships and orchestrate complex deals across more diverse business stakeholders.</li>\n<li>Holistically embrace, access, and utilize the channel/alliances to identify and open new, uncharted opportunities.</li>\n<li>Work as a team for the most efficient use and deployment of resources. 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International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.</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_c1b40ca4-8d1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4933187007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["Mergers and Acquisitions","Financial Modeling","Valuation Techniques","Deal Structuring","Due Diligence","Pitch Books","Fairness Opinions"],"x-skills-preferred":["Relevant certification or advanced training","Experience mentoring or training others","Comfort with recording audio or video 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interview techniques, risk assessment and managing strong cross-functional relationships</li>\n<li>Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)</li>\n<li>Track record of rapid response to time-sensitive security requests</li>\n<li>Comfort operating across organizational boundaries (Security, People, Legal, IT)</li>\n<li>Exceptional communication, collaboration skills and the ability to lead projects with little guidance</li>\n<li>Demonstrated ability to operate independently with minimal oversight while managing sensitive cases</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience working in the technology industry or at/with AI/ML companies</li>\n<li>Experience with counterintelligence investigations and nation-state threat actor TTPs</li>\n<li>Background in open-source intelligence collection and analysis</li>\n<li>Track record of AI/LLM adoption for productivity gains in investigative work</li>\n<li>Experience contributing to a high growth startup environment</li>\n<li>Specialized knowledge of risks unique to the AI sector</li>\n<li>Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)</li>\n<li>Experience working in government, defense, or high-security environments</li>\n</ul>\n<p>What makes you successful here:</p>\n<ul>\n<li>Entrepreneurial mindset: You see gaps and fill them without being asked</li>\n<li>Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews</li>\n<li>AI-native approach: You leverage LLMs to work smarter, not just harder</li>\n<li>Mission alignment: You understand AI safety stakes and insider risk&#39;s role in protecting that mission</li>\n<li>Judgment under uncertainty: You make sound decisions with incomplete information</li>\n<li>Clear communicator: You distill complex findings into actionable insights for diverse audiences</li>\n<li>Cross-functional 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These projects require Integration and Test Engineers with hands-on experience to drive the delivery of hardware-focused capabilities to our customers. Anduril I&amp;T Engineers rapidly develop expertise in new domains in order to architect, design, deliver, support, and evolve next generation capabilities through the entire product life-cycle.</p>\n<p>As an Integration and Test Engineer (Mechanical), you will work within a dynamic team of multidisciplinary engineers and specialists throughout the life of AUV design, integration, and test efforts. 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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Our ambition is significant, and achieving it requires a team that operates at the highest level.</p>\n<p>We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.</p>\n<p>Your role</p>\n<p>Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.</p>\n<p>Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.</p>\n<p>Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.</p>\n<p>Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.</p>\n<p>Dialpad’s 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quality, maintainability, and scalability.</li>\n</ul>\n<ul>\n<li>Provide mentorship and technical guidance to junior engineers.</li>\n</ul>\n<p><strong>Skills you’ll bring</strong></p>\n<ul>\n<li>4-7 years of experience in information retrieval or distributed systems engineering.</li>\n</ul>\n<ul>\n<li>Strong understanding of search platforms and experience maintaining search engines at scale.</li>\n</ul>\n<ul>\n<li>Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.</li>\n</ul>\n<ul>\n<li>Experience with NLP/NLU within the context of information retrieval.</li>\n</ul>\n<ul>\n<li>Expertise in dense vector manipulation and optimization.</li>\n</ul>\n<ul>\n<li>Familiarity with hybrid search, rank fusion, and reranking techniques.</li>\n</ul>\n<ul>\n<li>Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).</li>\n</ul>\n<ul>\n<li>Strong understanding of distributed systems, microservices, and message-driven architectures.</li>\n</ul>\n<ul>\n<li>Passion for real-time performance optimization and high availability.</li>\n</ul>\n<ul>\n<li>Experience with API design using Swagger, OpenAPI, or equivalent tools.</li>\n</ul>\n<ul>\n<li>Knowledge of gRPC or equivalent RPC protocols.</li>\n</ul>\n<ul>\n<li>Experience with Docker and Kubernetes for containerized deployments.</li>\n</ul>\n<ul>\n<li>Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).</li>\n</ul>\n<ul>\n<li>Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.</li>\n</ul>\n<ul>\n<li>Knowledge of CI/CD frameworks and continuous delivery practices.</li>\n</ul>\n<p>Why Join Dialpad</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications</li>\n</ul>\n<ul>\n<li>Build and ship agentic AI products that are redefining how companies operate</li>\n</ul>\n<ul>\n<li>Join a team where AI amplifies every employee’s impact</li>\n</ul>\n<ul>\n<li>Competitive salary, 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We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.</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_0796e182-42e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8340906002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["information retrieval","distributed systems engineering","search platforms","indexers","analyzers","field mapping","ranking techniques","NLP/NLU","dense vector manipulation","optimization","hybrid search","rank fusion","reranking","Go","Python 3","API design","gRPC","Docker","Kubernetes","cloud platforms","Infrastructure as Code","CI/CD frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:55.828Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"information retrieval, distributed systems engineering, search platforms, indexers, analyzers, field mapping, ranking techniques, NLP/NLU, dense vector manipulation, optimization, hybrid search, rank fusion, reranking, Go, Python 3, API design, gRPC, Docker, Kubernetes, cloud platforms, Infrastructure as Code, CI/CD frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_536aa8eb-f7c"},"title":"Technical Influence Operations Threat Investigator","description":"<p>We are looking for a Technical Influence Operations Threat Investigator to join our Threat Intelligence team. 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The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment.</p>\n<p>Your responsibilities will include managing day-to-day demand signalling, ordering, and inventory for various product lines, identifying and resolving supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams, leading Sales and Operations Planning (S&amp;OP) discussions for Supply Planning on designated product lines, working with Business Development and Growth teams to align forecasts with actual demand plans, reporting on and analysing supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development, developing and maintaining processes within MRP systems and associated master data, and driving strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.</p>\n<p>To be successful in this role, you will need a Bachelor&#39;s degree in a technical field or business field, and 6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies. You will also need technical expertise, including the ability to read technical documentation and understand hardware manufacturing processes, experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce, and the ability to travel up to 10% of the time.</p>\n<p>The salary range for this role is $129,000-$171,000 USD, and highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.</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_74cbb36c-382","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5070088007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$129,000-$171,000 USD","x-skills-required":["Supply Chain Management","Inventory Management","Enterprise Resource Planning (ERP)","Material Requirements Planning (MRP)","Demand Shaping","Advanced Modelling","Inventory Optimisation","Technical Documentation","Hardware Manufacturing Processes","Oracle","Netsuite","Salesforce"],"x-skills-preferred":["SQL","Tableau","Power BI","Qlikview","Lean Manufacturing","Continuous Improvement","Six Sigma Principles","Big Data Evaluation Techniques"],"datePosted":"2026-04-18T15:54:36.416Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Supply Chain Management, Inventory Management, Enterprise Resource Planning (ERP), Material Requirements Planning (MRP), Demand Shaping, Advanced Modelling, Inventory Optimisation, Technical Documentation, Hardware Manufacturing Processes, Oracle, Netsuite, Salesforce, SQL, Tableau, Power BI, Qlikview, Lean Manufacturing, Continuous Improvement, Six Sigma Principles, Big Data Evaluation Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":129000,"maxValue":171000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6c6a828c-576"},"title":"Client Account Executive, Mid-Market","description":"<p>About Dialpad</p>\n<p>Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.</p>\n<p>More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.</p>\n<p>We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.</p>\n<p>Visit dialpad.com to learn more.</p>\n<p>Being a Dialer</p>\n<p>At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. 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AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</p>\n<p>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</p>\n<p>Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees.</p>\n<p>Generous time off: Highly competitive PTO plans with a holiday hiatus in December.</p>\n<p>Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</p>\n<p>Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</p>\n<p>Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.</p>\n<p>Additional work-life services, such as legal and financial support, are also available.</p>\n<p>Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region.</p>\n<p>Relocation Assistance: Available depending on role eligibility.</p>\n<p>Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</p>\n<p>UK &amp; 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As a Senior Technical Sourcer, you will be a strategic talent partner responsible for identifying, engaging, and building pipelines of world-class technical talent. You&#39;ll collaborate closely with recruiters, hiring managers, and technical leaders to deeply understand role requirements and develop proactive sourcing strategies that fuel both immediate hiring needs and long-term growth.</p>\n<p>This role requires creativity, persistence, and strong business acumen to engage passive candidates and position Brex as an employer of choice. You&#39;ll also play a key role in strengthening our diversity sourcing strategies and continuously improving sourcing processes and tools.</p>\n<p>As a Senior Technical Sourcer, you will lead end-to-end sourcing strategies for technical roles across engineering, data, product, AI, and other specialized functions. You&#39;ll conduct market research, competitive intelligence, and talent mapping to inform hiring strategies and pipeline development. 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Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</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_92ae1b2d-c73","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/8434446002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$108,819-$158,200","x-skills-required":["sourcing for technical roles","advanced sourcing techniques","Boolean search","talent mapping","market research","technical skill sets","engineering org structures","emerging technology trends","passive candidate engagement","data-driven mindset","sourcing metrics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:10.889Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"sourcing for technical roles, advanced sourcing techniques, Boolean search, talent mapping, market research, technical skill sets, engineering org structures, emerging technology trends, passive candidate engagement, data-driven mindset, sourcing metrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":108819,"maxValue":158200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0e9a6111-35e"},"title":"Senior Electrical Engineer","description":"<p>Job Title: Senior Electrical Engineer</p>\n<p>We are seeking a highly experienced Senior Electrical Engineer to join our team in Sydney. 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Roadrunner is a reusable, vertical take-off and landing (VTOL), operator-supervised Autonomous Air Vehicle (AAV) with twin turbojet engines and modular payload configurations that can support a variety of missions.</p>\n<p>As a Reliability Engineer at Anduril, you will leverage your extensive knowledge of advanced Reliability tools and methodologies to drive excellence in our Reliability programs. You will support the Systems, Hardware, &amp; Software Engineering teams across the product development lifecycle by guiding Failure Modes &amp; Effects Analysis, predictive analysis, qualification test planning, field performance monitoring, and root cause &amp; corrective action activities for your product(s).</p>\n<p>The right person for this role has knowledge of design and development with a reliability focus on unmanned aircraft systems, as well as exposure to test, analysis, manufacturing, and continuous improvement in a production environment. 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Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline</li>\n<li>Experience with safety-critical hardware &amp; software systems in the defense or aerospace industry, with a preference for experience with unmanned drone or aircraft systems</li>\n<li>Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629</li>\n<li>Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis</li>\n<li>Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis</li>\n<li>Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance</li>\n<li>Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence</li>\n<li>Design Review Experience (PDR, CDR, MRR) and confident in presentation skills across all levels of leadership</li>\n<li>Eligibility to obtain/maintain a U.S. Secret clearance, as required</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>M.S. 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As a Staff Engineer, you will be responsible for leading the technical vision for ML-powered messaging features, architecting and delivering intelligent capabilities end-to-end, and partnering deeply with ML and product teams.</p>\n<p>The Difference You Will Make:</p>\n<p>As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb&#39;s messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration.</p>\n<p>A Typical Day:</p>\n<ul>\n<li>Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability</li>\n<li>Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions</li>\n<li>Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact</li>\n<li>Collaborate with other engineers and cross-functional partners across Messaging, Trust &amp; Safety, Localization, and Platform organizations to align on long-term technical solutions</li>\n<li>Mentor, guide, advocate, and support the career growth of individual contributors</li>\n<li>Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>9+ years of relevant engineering hands-on work experience</li>\n<li>Bachelors, Masters, or PhD in CS or related field</li>\n<li>Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring</li>\n<li>Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications</li>\n<li>Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding</li>\n<li>Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering</li>\n<li>Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution</li>\n<li>Experience operating distributed, real-time systems at scale with high reliability requirements</li>\n<li>Experience with real-time messaging systems or event-driven architectures</li>\n<li>Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms)</li>\n<li>Prior work on trust &amp; safety, content moderation, or internationalization in a messaging context</li>\n<li>Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning</li>\n</ul>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. 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As a key member of our sales team, you will be responsible for targeting, building and nurturing positive relationships with C-level decision-makers, understanding complex business needs, and delivering innovative solutions across our product suite.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing a defined list of named strategic accounts to consistently meet or exceed quarterly and annual sales targets</li>\n<li>Applying effective discovery and value-selling techniques to build and strengthen C-level relationships for every account in your book</li>\n<li>Aligning with executives on business challenges and gaining sponsorship for enterprise-wide deployments for a suite of products, identifying where Figma&#39;s roadmap and innovations fit in the long term</li>\n<li>Conducting thorough analysis to create strategic account plans that outline company priorities and initiatives, multi-threading at a senior level to build on expansion opportunities</li>\n<li>Co-creating with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success</li>\n</ul>\n<p>We&#39;d love to hear from you if you have:</p>\n<ul>\n<li>Experience closing sales for a software or SaaS business with the highest tier of Enterprise customers (5000+ FTEs), selling to executives</li>\n<li>Consistent performance meeting pipeline generation targets for net new business</li>\n<li>Demonstrated experience successfully managing complex sales cycles (9 months+)</li>\n<li>Proficiency in a sales methodology and process that creates value for customers</li>\n</ul>\n<p>While it&#39;s not required, it&#39;s an added plus if you also have:</p>\n<ul>\n<li>Experience selling solutions to technical audiences at the highest level in Engineering, Product and Design teams</li>\n<li>Demonstrated ability to succeed in a changing environment</li>\n<li>Certified in deal qualification and prospect discovery</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_0cb5844f-d09","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/5797769004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["strategic account management","sales","customer relationship building","complex sales cycles","sales methodology","value-selling techniques"],"x-skills-preferred":["solution selling","technical sales","change management","deal qualification","prospect discovery"],"datePosted":"2026-04-18T15:48:53.942Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo, Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"strategic account management, sales, customer relationship building, complex sales cycles, sales methodology, value-selling techniques, solution selling, technical sales, change management, deal qualification, prospect discovery"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6319233-63d"},"title":"Senior BSA/AML Investigator","description":"<p>Job Description:</p>\n<p>About xAI</p>\n<p>xAI&#39;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.</p>\n<p><strong>ABOUT THE ROLE:</strong></p>\n<p>The Payments team is seeking an experienced BSA/AML Investigator to help detect, prevent, and report financial crimes.</p>\n<p><strong>RESPONSIBILITIES:</strong></p>\n<ul>\n<li>Independently investigate and resolve complex alerts and cases from transaction monitoring systems, including in-depth analysis of payment flows and user behaviours.</li>\n<li>Prepare, review, and recommend filing of Suspicious Activity Reports (SARs), ensuring high-quality narratives and supporting documentation.</li>\n<li>Assist with KYC and onboarding matters as required.</li>\n<li>Conduct Enhanced Due Diligence (EDD) on high-risk users and transactions; 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long-term disability insurance, life insurance, and various other discounts and perks.</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_b6319233-63d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5058161007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$125,000 - $150,000 USD","x-skills-required":["AML","fintech","banking","financial crime risks","digital payments","money transmission","wallets","peer-to-peer platforms","SARs","BSA/AML laws and regulations","Bank Secrecy Act","USA PATRIOT Act","OFAC sanctions","FinCEN guidance","FATF","regulatory bodies","transaction monitoring systems","payment flows","user behaviours","KYC","onboarding","Enhanced Due Diligence","customer risk profiles","risk ratings","transaction monitoring rules","scenarios","false positives","detection effectiveness","investigation techniques","regulatory requirements","compliance-related initiatives","new product launches","evolving technologies","regulations","business needs"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:18.424Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"AML, fintech, banking, financial crime risks, digital payments, money transmission, wallets, peer-to-peer platforms, SARs, BSA/AML laws and regulations, Bank Secrecy Act, USA PATRIOT Act, OFAC sanctions, FinCEN guidance, FATF, regulatory bodies, transaction monitoring systems, payment flows, user behaviours, KYC, onboarding, Enhanced Due Diligence, customer risk profiles, risk ratings, transaction monitoring rules, scenarios, false positives, detection effectiveness, investigation techniques, regulatory requirements, compliance-related initiatives, new product launches, evolving technologies, regulations, business needs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":150000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e3655fbb-f34"},"title":"Aerodynamics Engineer, Hypersonic Air Vehicles","description":"<p>The Air Dominance and Strike Aerodynamics Engineering Team is responsible for the advanced aerodynamic design and analysis for Group 5 hypersonic air vehicles and missile platforms. As an Aerodynamics Engineer, you will own the full development lifecycle, from conceptual design to flight test planning, execution, and analysis. Your expertise will ensure high-performance, resilient, and scalable systems that meet the demands of complex, contested environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Aerodynamics design of unmanned air vehicles/missiles at conceptual, preliminary, and detailed design maturities</li>\n<li>Aerodynamics analysis of unmanned air vehicles, using both low and high order methods, including analysis tool development and improvement as needed</li>\n<li>Stability and control analysis</li>\n<li>Trajectory optimization for performance analysis, vehicle conceptual trades, and sensitivities</li>\n<li>Aerothermodynamic analysis of flight vehicles in high-speed environments</li>\n<li>Aircraft performance modeling and simulation</li>\n<li>Aerodynamic loads generation</li>\n<li>Wind tunnel test planning, execution, and analysis</li>\n<li>Flight test planning, execution, and analysis</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>BS or higher degree in Aerospace Engineering</li>\n<li>Experience with a variety of aerodynamic analysis techniques including hand calculations, lower-order codes, and computational fluid dynamics (CFD)</li>\n<li>Strong programming skills in higher-level languages (e.g., MATLAB, Python) for internal tool development in a version-controlled environment</li>\n<li>Experience preparing formal documentation (i.e., specifications, test procedures, technical reports, etc.)</li>\n<li>Passion for defending the United States and her allies</li>\n<li>Ability to obtain and hold a U.S. Top Secret security clearance</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>StarCCM+ experience</li>\n<li>Experience evaluating external aerodynamics characteristics of a vehicle in the supersonic or hypersonic flow regime</li>\n<li>Experience with aerothermal analysis</li>\n<li>Experience leveraging trajectory optimization software for performance analysis, vehicle conceptual trades, and/or sensitivities</li>\n<li>Knowledge of high-speed aerodynamic laminar, transitional, and turbulent simulation techniques</li>\n<li>Experience with chemical kinetics modeling and simulation</li>\n<li>Experience with combustion computational fluid dynamics and a foundational understanding of compressible flow</li>\n<li>Active U.S. Secret security clearance</li>\n</ul>\n<p>US Salary Range: $146,000-$194,000 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_e3655fbb-f34","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5032351007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["Aerospace Engineering","Computational Fluid Dynamics","MATLAB","Python","Formal Documentation"],"x-skills-preferred":["StarCCM+","Aerothermal Analysis","Trajectory Optimization Software","High-Speed Aerodynamic Simulation Techniques","Chemical Kinetics Modeling and Simulation"],"datePosted":"2026-04-18T15:47:52.683Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Aerospace Engineering, Computational Fluid Dynamics, MATLAB, Python, Formal Documentation, StarCCM+, Aerothermal Analysis, Trajectory Optimization Software, High-Speed Aerodynamic Simulation Techniques, Chemical Kinetics Modeling and Simulation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1051437d-3f6"},"title":"Senior Data Scientist, Consumer","description":"<p>We are seeking a Senior Data Scientist to join our Consumer Data Science team. As a Senior Data Scientist, you will play a significant role in driving the success of key product areas at Reddit, including Consumer, Ads, and Safety. You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations</li>\n<li>Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests</li>\n<li>Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly</li>\n<li>Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact</li>\n<li>Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes</li>\n<li>Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research</li>\n<li>For M.S. holders: 5+ years of industry experience in applied science or data science roles</li>\n<li>For Ph.D. holders: 4+ years of industry experience in applied science or data science roles</li>\n<li>Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python)</li>\n<li>Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques</li>\n<li>Comfortable in innovative and fast-paced environments, and a bias toward action</li>\n<li>Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike</li>\n<li>Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $190,800-$267,100 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_1051437d-3f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7275414","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,800-$267,100 USD","x-skills-required":["SQL","R","Python","online experimentation","causal inference","statistical techniques"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:47.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, R, Python, online experimentation, causal inference, statistical techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190800,"maxValue":267100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_19912495-792"},"title":"Robotics Engineer, Sensor Integration","description":"<p>We are seeking a Robotics Software Engineer with expertise in C++ and Rust to join our team. In this role, you will design, develop, and optimize software solutions for autonomous robotic systems, focusing on sensor integration, networking, and multi-agent coordination.</p>\n<p>You will work on interdisciplinary challenges, collaborate across teams, and deploy critical software in real-world environments.</p>\n<p>Key responsibilities include:</p>\n<p>Developing mission-critical software for networking, sensor integration, and autonomy across robotic platforms</p>\n<p>Working with various sensors (e.g., cameras, LiDAR, IMUs) to enable perception, localization, and navigation</p>\n<p>Designing and optimizing distributed communication networks and message-passing frameworks for multi-robot coordination</p>\n<p>Collaborating with hardware, systems, and manufacturing teams to seamlessly integrate software into physical systems</p>\n<p>Traveling up to 25% to test, debug, and deploy systems in operational environments</p>\n<p>Contribution to the entire software lifecycle, including prototyping, implementation, testing, and deployment</p>\n<p>Enhancing system efficiency, such as improving latency, battery consumption, and resource utilization</p>\n<p>Analyzing and resolving issues in deployed systems, ensuring reliability and operational success</p>\n<p>Required qualifications include:</p>\n<p>Bachelor&#39;s or Master&#39;s degree in Robotics, Computer Science, Software Engineering, Mathematics, or Physics</p>\n<p>2+ years of hands-on experience developing production-grade software in C++ and/or Rust</p>\n<p>Experience with distributed communication networks, protocols, and message standards</p>\n<p>Proven ability to work with and integrate sensors (e.g., LiDAR, cameras, IMUs) into robotics systems</p>\n<p>Ability to navigate and contribute to complex systems and established codebases</p>\n<p>Passion for building software that directly influences mission-critical outcomes</p>\n<p>Willingness to travel up to 25%</p>\n<p>Preferred qualifications include:</p>\n<p>Experience with motion planning, perception, localization, and multi-agent coordination</p>\n<p>Proficiency in designing Software-in-the-Loop (SIL) simulation environments</p>\n<p>Experience working with embedded systems and physical devices</p>\n<p>Familiarity with metrics and optimization techniques for robotics systems</p>\n<p>Knowledge of AI/ML applications in robotics</p>\n<p>Active or prior U.S. Secret clearance is a plus</p>\n<p>The salary range for this role is $191,000-$253,000 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_19912495-792","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5096506007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$191,000-$253,000 USD","x-skills-required":["C++","Rust","distributed communication networks","protocols","message standards","sensor integration","networking","multi-agent coordination"],"x-skills-preferred":["motion planning","perception","localization","Software-in-the-Loop (SIL) simulation environments","embedded systems","physical devices","metrics and optimization techniques","AI/ML applications in robotics"],"datePosted":"2026-04-18T15:47:45.332Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Rust, distributed communication networks, protocols, message standards, sensor integration, networking, multi-agent coordination, motion planning, perception, localization, Software-in-the-Loop (SIL) simulation environments, embedded systems, physical devices, metrics and optimization techniques, AI/ML applications in robotics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":191000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8549c317-12f"},"title":"Senior Research Scientist, Reward Models","description":"<p>As a Senior Research Scientist on our Reward Models team, you&#39;ll lead research efforts to improve how we specify and learn human preferences at scale.</p>\n<p>Your work will directly shape how our models understand and optimize for what humans actually want , enabling Claude to be more useful, more reliable, and better aligned with human values.</p>\n<p>This role focuses on pushing the frontier of reward modeling for large language models. You&#39;ll develop novel architectures and training methodologies for RLHF, research new approaches to LLM-based evaluation and grading (including rubric-based methods), and investigate techniques to identify and mitigate reward hacking.</p>\n<p>You&#39;ll collaborate closely with teams across Anthropic, including Finetuning, Alignment Science, and our broader research organization, to ensure your work translates into concrete improvements in both model capabilities and safety.</p>\n<p>We&#39;re looking for someone who can drive ambitious research agendas while also shipping practical improvements to production systems. You&#39;ll have the opportunity to work on some of the most important open problems in AI alignment, with access to frontier models and significant computational resources.</p>\n<p>Your work will directly advance the science of how we train AI systems to be both highly capable and safe.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead research on novel reward model architectures and training approaches for RLHF</li>\n</ul>\n<ul>\n<li>Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability</li>\n</ul>\n<ul>\n<li>Research techniques to detect, characterize, and mitigate reward hacking and specification gaming</li>\n</ul>\n<ul>\n<li>Design experiments to understand reward model generalization, robustness, and failure modes</li>\n</ul>\n<ul>\n<li>Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines</li>\n</ul>\n<ul>\n<li>Contribute to research publications, blog posts, and internal documentation</li>\n</ul>\n<ul>\n<li>Mentor other researchers and help build institutional knowledge around reward modeling</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have a track record of research contributions in reward modeling, RLHF, or closely related areas of machine learning</li>\n</ul>\n<ul>\n<li>Have experience training and evaluating reward models for large language models</li>\n</ul>\n<ul>\n<li>Are comfortable designing and running large-scale experiments with significant computational resources</li>\n</ul>\n<ul>\n<li>Can work effectively across research and engineering, iterating quickly while maintaining scientific rigor</li>\n</ul>\n<ul>\n<li>Enjoy collaborative research and can communicate complex ideas clearly to diverse audiences</li>\n</ul>\n<ul>\n<li>Care deeply about building AI systems that are both highly capable and safe</li>\n</ul>\n<p>Strong candidates may also:</p>\n<ul>\n<li>Have published research on reward modeling, preference learning, or RLHF</li>\n</ul>\n<ul>\n<li>Have experience with LLM-as-judge approaches, including calibration and reliability challenges</li>\n</ul>\n<ul>\n<li>Have worked on reward hacking, specification gaming, or related robustness problems</li>\n</ul>\n<ul>\n<li>Have experience with constitutional AI, debate, or other scalable oversight approaches</li>\n</ul>\n<ul>\n<li>Have contributed to production ML systems at scale</li>\n</ul>\n<ul>\n<li>Have familiarity with interpretability techniques as applied to understanding reward model behavior</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$500,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8549c317-12f","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/5024835008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$500,000 USD","x-skills-required":["reward modeling","RLHF","large language models","novel architectures","training methodologies","evaluation and grading","rubric-based methods","reward hacking","specification gaming","generalization","robustness","failure modes","computational resources","scientific rigor","communication skills","interpretability techniques"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:13.514Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel Required) | San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"reward modeling, RLHF, large language models, novel architectures, training methodologies, evaluation and grading, rubric-based methods, reward hacking, specification gaming, generalization, robustness, failure modes, computational resources, scientific rigor, communication skills, interpretability techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1410a549-44e"},"title":"Director of Machine Learning, Safety & Mods","description":"<p>We&#39;re looking for a Director of Machine Learning to lead Reddit&#39;s efforts in building industry-leading ML systems that keep our platform safe and foster healthy online communities.</p>\n<p>This leader will drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.</p>\n<p>In this role, you will own the roadmap for Safety and moderation ML, lead a team of applied scientists and engineers, and partner cross-functionally across Product, Engineering, Safety operations, Trust &amp; 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format evaluation, measurement &amp; experimentation at scale</li>\n<li>Master&#39;s or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline</li>\n<li>Advanced proficiency in statistical programming (Python or R) and SQL</li>\n<li>Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques</li>\n<li>Strong understanding of experimental design, causal inference, or A/B testing methodologies</li>\n</ul>\n<p>Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health &amp; coaching benefits, flexible vacation &amp; paid volunteer time off, and generous paid parental leave.</p>\n<p>The base salary range for this position is $268,000-$365,100 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_779cd718-611","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/7330347","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$268,000-$365,100 USD","x-skills-required":["ads marketplace understanding","auctioning/bidding","ads creative & format evaluation","measurement & experimentation at scale","statistical programming (Python or R)","SQL","statistical analysis","economic modeling","foundational machine learning","optimization techniques","experimental design","causal inference","A/B testing methodologies"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:02.115Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale, statistical programming (Python or R), SQL, statistical analysis, economic modeling, foundational machine learning, optimization techniques, experimental design, causal inference, A/B testing methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":268000,"maxValue":365100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5962f7f0-71a"},"title":"Mission Systems Integration Engineer, Air Dominance & Strike, Active Clearance","description":"<p>We are seeking a Mission Systems Integration Engineer to join our team. As a Mission Systems Integration Engineer, you will be responsible for lab and field integration and test of payloads, subcomponents, amplifiers, and antennas. You will leverage your expertise in electronics/RF design, testing, and troubleshooting to rapidly test and integrate both internal and third-party built RF systems. You will develop test set-ups that allow for the validation of device performance using state-of-the-art RF equipment, such as spectrum and network analyzers. You will support flight test events and large-scale, customer-facing validation exercises. This will require taking ownership of end-to-end system test and working across various Anduril internal teams to appropriately integrate capabilities.</p>\n<p>If you are someone who enjoys building and delivering compelling next-generation autonomous capabilities and supporting actual vehicle integration, then this role is for you.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Test RF systems (power measurements, pulse response/synchronization, network analysis, environmental &amp; stress testing, etc.)</li>\n<li>Lead air vehicle integration and checkout efforts (EMI/interference testing, installed performance testing, data analysis)</li>\n<li>Validate system performance in close cooperation with design &amp; system engineers</li>\n<li>Work closely with AD&amp;S teams to successfully integrate &amp; deliver high-performance systems to our customers</li>\n<li>Communicate results in multiple forms internally and externally</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Currently possesses and is able to maintain an active U.S. Secret security clearance</li>\n<li>Eligible to obtain and maintain an active U.S. Top Secret security clearance</li>\n<li>Communications, sensors, and effector domain expertise in RF based systems (e.g. Radar, ESM, EW, etc.)</li>\n<li>Proven, hands-on experience with RF test equipment and measurement techniques</li>\n<li>2+ years in RF system integration and validation, the more the better</li>\n<li>5+ years in relevant Science and/or Engineering related field</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Hands-on experience with both analog and digital systems integration.</li>\n<li>Ability to develop SW to enable closed-loop or automated testing of systems under test</li>\n<li>Experience with simulation and modeling tools (e.g., ADS, Ansys HFSS, COMSOL, MATLAB, etc.)</li>\n<li>Advanced sensing domain experience (e.g., EO/IR, ESM, EA, EW, LIDAR)</li>\n<li>Experience with air vehicle design, integration, test, &amp; fielding</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_5962f7f0-71a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://anduril.com","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/4998518007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$146,000-$194,000 USD","x-skills-required":["RF system integration","RF test equipment","Measurement techniques","Communication systems","Sensor systems","Effector systems","Radar systems","ESM systems","EW systems"],"x-skills-preferred":["Analog systems integration","Digital systems integration","SW development","Simulation and modeling tools","Advanced sensing domain experience","Air vehicle design","Integration","Test","Fielding"],"datePosted":"2026-04-18T15:46:33.321Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"RF system integration, RF test equipment, Measurement techniques, Communication systems, Sensor systems, Effector systems, Radar systems, ESM systems, EW systems, Analog systems integration, Digital systems integration, SW development, Simulation and modeling tools, Advanced sensing domain experience, Air vehicle design, Integration, Test, Fielding","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":146000,"maxValue":194000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f82f685c-734"},"title":"Guidance Navigation and Control (GNC) Engineer, Air Dominance & Strike - Advanced Effects","description":"<p>Join our Flight Engineering team advancing the Air Dominance and Strike division&#39;s portfolio, where we push the boundaries of aerospace technology. As a critical member of our team, the role of a Guidance, Navigation &amp; Control (GNC) Engineer is pivotal in driving the design, development, testing, and implementation of cutting-edge flight system technologies for our aerospace systems.</p>\n<p>We are seeking exceptional GNC Engineers to shape the next generation of advanced tactical missile systems, strategic weapons, and hypersonic strike and defense systems. As a key contributor, you will develop, test, and integrate cutting-edge GNC architectures for subsonic, supersonic, and hypersonic autonomous systems, driving innovation in mission-critical capabilities.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop, implement, and test algorithms for guidance, navigation, and control systems in line with project requirements.</li>\n<li>Design, implement, and assess the GNC architectures considering all elements, including sensors, actuators, and algorithms.</li>\n<li>Participate in all phases of system development, from concept to design, prototyping, testing, and operation.</li>\n<li>Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance.</li>\n<li>Contribute to design reviews, safety assessments, and system documentation.</li>\n<li>Use simulation and analysis tools to verify GNC models and system performance under different operating conditions.</li>\n<li>Provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process.</li>\n<li>Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases.</li>\n<li>Keep updated with the latest technologies and trends in GNC engineering and system architecture design.</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control</li>\n<li>A strong theoretical knowledge of flight mechanics, classical and modern control theory, estimation, and filtering techniques.</li>\n<li>Experience with developing GNC solutions for flight systems</li>\n<li>Proficiency with GNC simulation tools like MATLAB, Simulink and related toolboxes</li>\n<li>Familiarization with 6-DOF simulations</li>\n<li>Must be eligible to obtain and maintain a U.S. Top Secret clearance</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>A MS or Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus</li>\n<li>Strong understanding of flight mechanics and related physics.</li>\n<li>Practical experience developing GNC designs for high speed flight systems and re-entry vehicles.</li>\n<li>Practical experience with Explicit Model Following, Dynamic Inversion, and Adaptive Control techniques.</li>\n<li>Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry.</li>\n<li>Experience generating C or C++ code from Simulink models.</li>\n<li>Experience writing code in C/C++</li>\n<li>Strong analytical, problem-solving, and decision-making skills.</li>\n<li>Excellent verbal and written communication skills.</li>\n<li>Ability to work independently and in a team-oriented, collaborative environment.</li>\n<li>Familiarity with agile and Lean product development methodologies such as Scrum.</li>\n<li>Experience using Jira, Git, GitHub, or GitLab</li>\n<li>Understanding of and compliance with industry, safety, and quality standards appropriate for the application</li>\n<li>Passion for defending the United States and its allies</li>\n<li>Current Active U.S. Top Secret clearance preferred</li>\n</ul>\n<p>Salary Range:</p>\n<p>The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril&#39;s total compensation package.</p>\n<p>Benefits:</p>\n<p>Anduril offers top-tier benefits for full-time employees, including:</p>\n<ul>\n<li>Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</li>\n<li>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</li>\n<li>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</li>\n<li>Income Protection: Anduril covers life and disability insurance for all employees.</li>\n<li>Generous time off: Highly competitive PTO plans with a holiday hiatus in December.</li>\n<li>Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</li>\n<li>Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</li>\n<li>Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.</li>\n<li>Additional work-life services, such as legal and financial support, are also available.</li>\n<li>Professional Development: Annual reimbursement for professional development.</li>\n<li>Commuter Benefits: Company-funded commuter benefits based on your region.</li>\n<li>Relocation Assistance: Available depending on role eligibility.</li>\n<li>Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</li>\n<li>UK &amp; 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As a Solutions Engineer, you will be part of the Pre-Sales Solution Engineering organisation, owning the technical sale of the Cloudflare solution portfolio. You will work closely with our customers and partners to educate, empower, and ensure their success delivering Cloudflare security, reliability, and performance solutions.</p>\n<p>Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.</p>\n<p>We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.</p>\n<p>Specifically, we are looking for you to:</p>\n<ul>\n<li>Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue</li>\n<li>Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept</li>\n<li>Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline</li>\n<li>Evangelize and represent Cloudflare through technical thought leadership and expertise</li>\n<li>Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers</li>\n</ul>\n<p>You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.</p>\n<p>Examples of desirable skills, knowledge and experience include:</p>\n<ul>\n<li>Fluency in Dutch and English (verbal and written)</li>\n<li>Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders</li>\n<li>Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)</li>\n<li>Experience managing technical sales cycles end-to-end</li>\n<li>Ability to articulate business value and ROI of technical solutions, not just features</li>\n<li>Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)</li>\n<li>Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting</li>\n<li>Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN</li>\n<li>Cloud networking concepts: VPCs, peering, interconnect</li>\n<li>DDoS attack types (L3/L4/L7) and mitigation strategies</li>\n<li>Web Application Firewall (WAF) rule configuration and tuning</li>\n<li>VPN concepts and their limitations relative to Zero Trust approaches</li>\n<li>API security: API Gateway, rate limiting, schema validation, abuse prevention</li>\n<li>Bot management concepts and detection techniques</li>\n<li>SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)</li>\n<li>Zero Trust Network Access (ZTNA) vs. traditional VPN architecture</li>\n<li>HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics</li>\n<li>Detailed understanding of the flow from user to application, including hybrid cloud architectures</li>\n<li>Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)</li>\n<li>Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)</li>\n<li>Cloudflare Workers and the edge compute model (JavaScript/TypeScript)</li>\n<li>Familiarity with related primitives: KV, Object storage, serverless compute</li>\n<li>Familiarity with the competitive landscape across Cloudflare&#39;s product areas</li>\n<li>Understanding of why customers move from on-premises appliances to cloud-delivered security</li>\n<li>Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare</li>\n</ul>\n<p>We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we&#39;d love to hear from you.</p>\n<p>What makes Cloudflare special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. 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This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction.</p>\n<p>You will work on fundamental research in reinforcement learning, creating &#39;agentic&#39; models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters.</li>\n<li>Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.</li>\n<li>Drive performance improvements across our stack through profiling, optimization, and benchmarking. 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You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading the design, implementation, benchmarking, and maintenance of core compute kernels optimized for various hardware backends (GPU, accelerators)</li>\n<li>Driving the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.</li>\n<li>Integrating kernel optimizations with higher-level ML systems</li>\n<li>Building and maintaining profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps</li>\n<li>Leading performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation</li>\n<li>Establishing coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability</li>\n<li>Influencing system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)</li>\n<li>Mentoring and guiding other engineers working on lower-level performance, providing code reviews, and helping set best practices</li>\n<li>Collaborating with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitoring their impact</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS/PhD in Computer Science, or a related field</li>\n<li>Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads</li>\n<li>Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.</li>\n<li>Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning</li>\n<li>Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels</li>\n<li>Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)</li>\n<li>Experience reasoning about numerical stability, mixed precision, quantization, and error propagation</li>\n<li>Experience in integrating optimized kernels into real-world ML inference systems; 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As a key member of our team, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems, intelligent advertising systems, and large-scale machine learning pipelines.</p>\n<p>Our team is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.</p>\n<p>As a Senior Machine Learning Engineer, you will:</p>\n<ul>\n<li>Design, build, and deploy production-grade machine learning models and systems at scale</li>\n<li>Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Build scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n<li>Improve system performance across latency, throughput, and model quality metrics</li>\n<li>Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph &amp; transformers based, and LLM evaluation/alignment</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n<li>Experience improving measurable metrics through applied machine learning</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems</li>\n<li>Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)</li>\n<li>Experience working with real-time systems and low-latency production environments</li>\n<li>Background in feature engineering, model optimization, and production monitoring</li>\n<li>Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale</li>\n<li>Advanced degree in Computer Science, Machine Learning, or related quantitative field</li>\n</ul>\n<p>Potential Teams:</p>\n<ul>\n<li>Ads Measurement Modeling</li>\n<li>Ads Targeting and Retrieval</li>\n<li>Advertiser Optimization</li>\n<li>Ads Marketplace Quality</li>\n<li>Ads Creative Effectiveness</li>\n<li>Ads Foundational Representations</li>\n<li>Ads Content Understanding</li>\n<li>Ads Ranking</li>\n<li>Feed Relevance</li>\n<li>Search and Answers Relevance</li>\n<li>ML Understanding</li>\n<li>Notifications Relevance</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>\n<li>401k with Employer Match</li>\n<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>\n<li>Family Planning Support</li>\n<li>Gender-Affirming Care</li>\n<li>Mental Health &amp; Coaching Benefits</li>\n<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>\n<li>Generous Paid Parental Leave</li>\n</ul>\n<p>Pay Transparency:</p>\n<p>This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. 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You will develop novel tooling solutions for fabrication and assembly of structural parts, perform detailed mechanical designs, and execute engineering calculations. You will also perform FEA simulations to validate structural and dynamic performance of mechanical components, use FEA results to optimize designs for weight, cost, and manufacturability, and design and develop mechanical test equipment.</p>\n<p>You will effectively coordinate your effort to support the Production team with mechanical design of fixtures/equipment, act as a subject matter expert in DFM/DFA reviews, select and manage suppliers, oversee physical assembly and commissioning of designed systems, and support the broader Production team by creating and maintaining designs in our PLM (Teamcenter).</p>\n<p>You will diagnose and resolve production issues promptly, including equipment malfunctions and process deviations, ensure all processes adhere to safety regulations and company policies, and design manufacturing jigs and fixtures capturing design updates, modifications, and improvements to existing manufacturing equipment and aids.</p>\n<p>This is a 12-month contract position based onsite in our Sydney office. The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. 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Responsible for the end-to-end execution of features, ensuring alignment with organisational standards.</p>\n<p>Solution Design and Architecture: Architect and design secure, scalable solutions by translating complex business requirements into technical specifications and solution designs that leverage the Salesforce platform, particularly within the Sales and CPQ domains.</p>\n<p>Quality Assurance and Testing: Ensure 100% unit test coverage for all new logic. 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As a Research Engineer, you&#39;ll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.</p>\n<p>This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.</p>\n<p>The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. 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However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.</p>\n<p>Join us as Staff Software Engineer for Twilio Stytch&#39;s Agent team and help build the future of agent identity. 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As a member of this team, you will be responsible for designing, implementing, and maintaining systems and tools that support flow-level observability, payments reliability, and scalability.</p>\n<p>Your primary focus will be on building and managing large-scale platforms to improve the availability of our Payments platform for internal and external stakeholders. You will collaborate closely with other Payments engineering teams and Infra teams to ensure services are instrumented, scalable, and resilient to support our growing business.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing, implementing, and maintaining systems and tools at a platform level that support flow-level observability, payments reliability, and scalability.</li>\n<li>Identifying and driving improvements to increase the Payments Availability, Observability, and Resiliency of Airbnb Payments.</li>\n<li>Developing observability standards/framework for new product readiness to ensure service reliability in SOA and distributed systems.</li>\n<li>Building domain expertise to achieve scalability by understanding the nuances of Payments across processing, compliance, and infra.</li>\n<li>Driving large-scale migration and adoption projects on Observability &amp; Reliability by cross-collaborating with various Payments teams.</li>\n<li>Leading initiatives that promote a culture of reliability throughout the organization by improving incident management platforms and instrumentation.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of experience in back-end software development focusing on large-scale distributed systems.</li>\n<li>BE/B.Tech in Computer Science or a related technical field.</li>\n<li>Strong software development skills in one or more languages such as Java, Python, Kotlin, Scala, or Ruby on Rails.</li>\n<li>Experience in building intelligent AI agents and systems powered by Large Language Models is a plus.</li>\n<li>Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).</li>\n<li>Familiarity with cloud platforms like AWS or Google Cloud Platform.</li>\n<li>Deep understanding of software development best practices, including version control, automated testing, CI/CD, and code reviews.</li>\n<li>Experience in incident management, monitoring, alerting, and root cause analysis.</li>\n<li>Effective leadership and communication skills to coordinate cross-functional teams during large-scale projects.</li>\n<li>Experience with initiatives across auto-scaling, self-healing mechanisms, chaos engineering, performance optimization techniques will be a plus.</li>\n<li>Previous experience in AI/ML will also be a plus.</li>\n</ul>\n<p>If you are a strong problem solver and have worked in a team that is on-call for production systems before, we encourage you to apply.</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_0a80aec8-c25","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/7613550","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Java","Python","Kotlin","Scala","Ruby on Rails","Cloud platforms","Software development best practices","Incident management","Monitoring","Alerting","Root cause analysis"],"x-skills-preferred":["AI/ML","Auto-scaling","Self-healing mechanisms","Chaos engineering","Performance optimization techniques"],"datePosted":"2026-04-18T15:43:32.370Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, Python, Kotlin, Scala, Ruby on Rails, Cloud platforms, Software development best practices, Incident management, Monitoring, Alerting, Root cause analysis, AI/ML, Auto-scaling, Self-healing mechanisms, Chaos engineering, Performance optimization techniques"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cbaf9906-291"},"title":"Platform Hardware Security","description":"<p>We&#39;re seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You&#39;ll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up.</p>\n<p>This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)</li>\n</ul>\n<ul>\n<li>Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer</li>\n</ul>\n<ul>\n<li>Develop measured boot implementations and runtime integrity monitoring</li>\n</ul>\n<ul>\n<li>Create reference architectures and security requirements for bare-metal deployments</li>\n</ul>\n<ul>\n<li>Integrate security controls with infrastructure teams without impacting training performance</li>\n</ul>\n<ul>\n<li>Prototype and validate security mechanisms before production deployment</li>\n</ul>\n<ul>\n<li>Conduct firmware vulnerability assessments and penetration testing</li>\n</ul>\n<ul>\n<li>Build firmware analysis pipelines for continuous security monitoring</li>\n</ul>\n<ul>\n<li>Document security architectures and maintain threat models</li>\n</ul>\n<ul>\n<li>Collaborate with software and hardware vendors to ensure security capabilities meet our requirements</li>\n</ul>\n<p>Who you are:</p>\n<ul>\n<li>8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)</li>\n</ul>\n<ul>\n<li>Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)</li>\n</ul>\n<ul>\n<li>Strong understanding of cryptographic protocols and hardware security modules</li>\n</ul>\n<ul>\n<li>Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation</li>\n</ul>\n<ul>\n<li>Proficiency in low-level programming (C, Rust, Assembly) and systems programming</li>\n</ul>\n<ul>\n<li>Knowledge of firmware vulnerability assessment and threat modeling</li>\n</ul>\n<ul>\n<li>Track record of designing security architectures for complex, distributed systems</li>\n</ul>\n<ul>\n<li>Experience with supply chain security</li>\n</ul>\n<ul>\n<li>Ability to work effectively across hardware and software boundaries</li>\n</ul>\n<ul>\n<li>Knowledge of NIST firmware security guidelines and hardware security frameworks</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience with confidential computing technologies and hardware-based TEEs</li>\n</ul>\n<ul>\n<li>Knowledge of SLSA framework and software supply chain security standards</li>\n</ul>\n<ul>\n<li>Experience securing large-scale HPC or cloud infrastructure</li>\n</ul>\n<ul>\n<li>Contributions to open-source security projects (coreboot, CHIPSEC, etc.)</li>\n</ul>\n<ul>\n<li>Background in formal verification or security proof techniques</li>\n</ul>\n<ul>\n<li>Experience with silicon root of trust implementations</li>\n</ul>\n<ul>\n<li>Experience working with building foundational technical designs, operational leadership, and vendor collaboration</li>\n</ul>\n<ul>\n<li>Previous work with AI/ML infrastructure security</li>\n</ul>\n<p>Annual Salary: $405,000-$485,000 USD</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p>Why work with us?</p>\n<ul>\n<li>Competitive compensation and benefits</li>\n</ul>\n<ul>\n<li>Optional equity donation matching</li>\n</ul>\n<ul>\n<li>Generous vacation and parental leave</li>\n</ul>\n<ul>\n<li>Flexible working hours</li>\n</ul>\n<ul>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p>Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application process</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_cbaf9906-291","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/4929689008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["Secure boot","Measured boot","Attestation technologies","Cryptographic protocols","Hardware security modules","UEFI/BIOS or embedded firmware security","Bootloader hardening","Chain of trust implementation","Low-level programming","Systems programming","Firmware vulnerability assessment","Threat modeling","Supply chain security","NIST firmware security guidelines","Hardware security frameworks"],"x-skills-preferred":["Confidential computing technologies","Hardware-based TEEs","SLSA framework","Software supply chain security standards","Large-scale HPC or cloud infrastructure","Open-source security projects","Formal verification","Security proof techniques","Silicon root of trust implementations","Vendor collaboration","AI/ML infrastructure security"],"datePosted":"2026-04-18T15:43:00.394Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Secure boot, Measured boot, Attestation technologies, Cryptographic protocols, Hardware security modules, UEFI/BIOS or embedded firmware security, Bootloader hardening, Chain of trust implementation, Low-level programming, Systems programming, Firmware vulnerability assessment, Threat modeling, Supply chain security, NIST firmware security guidelines, Hardware security frameworks, Confidential computing technologies, Hardware-based TEEs, SLSA framework, Software supply chain security standards, Large-scale HPC or cloud infrastructure, Open-source security projects, Formal verification, Security proof techniques, Silicon root of trust implementations, Vendor collaboration, AI/ML infrastructure security","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18ae1499-b22"},"title":"Research Engineer, Discovery","description":"<p>As a Research Engineer on our team, you will work end-to-end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments</li>\n<li>Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities</li>\n<li>Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI</li>\n<li>Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows</li>\n<li>Collaborate to translate experimental requirements into production-ready infrastructure</li>\n<li>Develop large scale data pipelines to handle advanced language model training requirements</li>\n<li>Optimize large scale training and inference pipelines for stable and efficient reinforcement learning</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems</li>\n<li>Are a strong communicator and enjoy working collaboratively</li>\n<li>Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale</li>\n<li>Have proven track record of building large-scale data pipelines and distributed storage systems</li>\n<li>Excel at diagnosing and resolving complex infrastructure challenges in production environments</li>\n<li>Can work effectively across the full ML stack from data pipelines to performance optimization</li>\n<li>Have experience collaborating with other researchers to scale experimental ideas</li>\n<li>Thrive in fast-paced environments and can rapidly iterate from experimentation to production</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)</li>\n<li>Background in building infrastructure for AI research labs or large-scale ML organizations</li>\n<li>Knowledge of GPU/TPU architectures and language model inference optimization</li>\n<li>Experience with cloud platforms (AWS, GCP) at enterprise scale</li>\n<li>Familiarity with VM and container orchestration</li>\n<li>Experience with workflow orchestration tools and experiment management systems</li>\n<li>History working with large scale reinforcement learning</li>\n<li>Comfort with large scale data pipelines (Beam, Spark, Dask, …)</li>\n</ul>\n<p>The annual compensation range for this role is $350,000-$850,000 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_18ae1499-b22","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/4669581008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["large-scale distributed systems","containerization technologies (Docker, Kubernetes)","performance optimization techniques","system architectures for high-throughput ML workloads","data pipelines","distributed storage systems","ML frameworks (PyTorch, JAX, etc.)","GPU/TPU architectures","cloud platforms (AWS, GCP)","VM and container orchestration","workflow orchestration tools","experiment management systems","reinforcement learning","large scale data pipelines (Beam, Spark, Dask, …)"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:41:42.408Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale distributed systems, containerization technologies (Docker, Kubernetes), performance optimization techniques, system architectures for high-throughput ML workloads, data pipelines, distributed storage systems, ML frameworks (PyTorch, JAX, etc.), GPU/TPU architectures, cloud platforms (AWS, GCP), VM and container orchestration, workflow orchestration tools, experiment management systems, reinforcement learning, large scale data pipelines (Beam, Spark, Dask, …)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73e0f7a0-d1b"},"title":"Infrastructure Engineer, Sandboxing","description":"<p>We are seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you&#39;ll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.</p>\n<p>As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You&#39;ll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic&#39;s mission to develop AI systems that are safe, beneficial, and trustworthy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and operate distributed backend systems that power secure sandboxed execution environments</li>\n<li>Scale infrastructure to meet growing research and product demands while maintaining reliability and performance</li>\n<li>Implement and maintain serverless architectures and container orchestration systems</li>\n<li>Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions</li>\n<li>Develop monitoring, alerting, and observability systems to ensure operational excellence</li>\n<li>Participate in on-call rotations and incident response to maintain system reliability</li>\n<li>Contribute to infrastructure automation and tooling that improves developer productivity</li>\n<li>Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5+ years of experience building and operating backend infrastructure at scale</li>\n<li>Have deep expertise in distributed systems design and implementation</li>\n<li>Have strong operational experience, including debugging complex production issues</li>\n<li>Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)</li>\n<li>Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications</li>\n<li>Are comfortable working with infrastructure as code and modern DevOps practices</li>\n<li>Have strong programming skills in languages such as Python, Go, or Rust</li>\n<li>Are results-oriented with a bias towards flexibility and impact</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)</li>\n<li>Designing and implementing secure multi-tenant systems</li>\n<li>High-performance computing environments or ML infrastructure</li>\n<li>Linux systems internals, including namespaces, cgroups, and seccomp</li>\n<li>Network security and isolation techniques</li>\n<li>Building systems that support research workflows and rapid iteration</li>\n</ul>\n<p>The annual compensation range for this role is $300,000-$405,000 USD.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.</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_73e0f7a0-d1b","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/5030680008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["distributed systems design and implementation","cloud platforms (GCP/GCS)","containerization technologies (Docker, Kubernetes)","infrastructure as code and modern DevOps practices","strong programming skills in languages such as Python, Go, or Rust"],"x-skills-preferred":["serverless architectures and functions-as-a-service platforms","secure multi-tenant systems","high-performance computing environments or ML infrastructure","Linux systems internals","network security and isolation techniques"],"datePosted":"2026-04-18T15:40:19.102Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems design and implementation, cloud platforms (GCP/GCS), containerization technologies (Docker, Kubernetes), infrastructure as code and modern DevOps practices, strong programming skills in languages such as Python, Go, or Rust, serverless architectures and functions-as-a-service platforms, secure multi-tenant systems, high-performance computing environments or ML infrastructure, Linux systems internals, network security and isolation techniques","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_28107212-128"},"title":"Performance Engineer, GPU","description":"<p>As a GPU Performance Engineer at Anthropic, you will be responsible for architecting and implementing the foundational systems that power Claude and push the frontiers of what&#39;s possible with large language models. You will maximize GPU utilization and performance at unprecedented scale, develop cutting-edge optimizations that directly enable new model capabilities, and dramatically improve inference efficiency.</p>\n<p>Working at the intersection of hardware and software, you will implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.</p>\n<p>Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Architect and implement foundational systems that power Claude</li>\n<li>Maximize GPU utilization and performance at unprecedented scale</li>\n<li>Develop cutting-edge optimizations that directly enable new model capabilities</li>\n<li>Dramatically improve inference efficiency</li>\n<li>Implement state-of-the-art techniques from custom kernel development to distributed system architectures</li>\n<li>Work at the intersection of hardware and software</li>\n<li>Span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Deep experience with GPU programming and optimization at scale</li>\n<li>Impact-driven, passionate about delivering measurable performance breakthroughs</li>\n<li>Ability to navigate complex systems from hardware interfaces to high-level ML frameworks</li>\n<li>Enjoy collaborative problem-solving and pair programming</li>\n<li>Want to work on state-of-the-art language models with real-world impact</li>\n<li>Care about the societal impacts of your work</li>\n<li>Thrive in ambiguous environments where you define the path forward</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization</li>\n<li>ML Compilers &amp; 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You will push the boundaries of container orchestration, manage exascale compute resources, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.</li>\n<li>Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.</li>\n<li>Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.</li>\n<li>Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.</li>\n<li>Own end-to-end infrastructure initiatives with 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workloads.</li>\n<li>Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).</li>\n<li>Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.</li>\n<li>Familiarity with performance tools, tracing, and debugging in production distributed environments.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>$180,000 - $440,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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operationalize insider risk indicators, scenarios and mitigation strategies</li>\n<li>Provide rapid-turnaround security assessments to support business operations</li>\n<li>Support education and awareness programs to promote a robust security culture</li>\n<li>Serve as the subject matter expert for insider risk and provide training to team members as needed</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>Bachelor&#39;s degree and/or higher education in a related field</li>\n<li>5-8 years of experience in insider risk, corporate investigations or a related domain</li>\n<li>3-5 years experience in conducting investigative interviews</li>\n<li>Experience conducting OSINT for threat assessment, or counterintelligence</li>\n<li>Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations</li>\n<li>Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships</li>\n<li>Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)</li>\n<li>Track record of rapid response to time-sensitive security requests</li>\n<li>Comfort operating across organizational boundaries (Security, People, Legal, IT)</li>\n<li>Exceptional communication, collaboration skills and the ability to lead projects with little guidance</li>\n<li>Demonstrated ability to operate independently with minimal oversight while managing sensitive cases</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience working in the technology industry or at/with AI/ML companies</li>\n<li>Experience with counterintelligence investigations and nation-state threat actor TTPs</li>\n<li>Background in open-source intelligence collection and analysis</li>\n<li>Track record of AI/LLM adoption for productivity gains in investigative work</li>\n<li>Experience contributing to a high growth startup environment</li>\n<li>Specialized knowledge of risks unique to the AI sector</li>\n<li>Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)</li>\n<li>Experience working in government, defense, or high-security environments</li>\n</ul>\n<p>What makes you successful here:</p>\n<ul>\n<li>Entrepreneurial mindset: You see gaps and fill them without being asked</li>\n<li>Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews</li>\n<li>AI-native approach: You leverage LLMs to work smarter, not just harder</li>\n<li>Mission alignment: You understand AI safety stakes and insider risk&#39;s role in protecting that mission</li>\n<li>Judgment under uncertainty: You make sound decisions with incomplete information</li>\n<li>Clear communicator: You distill complex findings into actionable insights for diverse audiences</li>\n<li>Cross-functional navigator: You build relationships and 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models</li>\n</ul>\n<ul>\n<li>Collaborate with the GenAI team on model quality and feature adoption</li>\n</ul>\n<ul>\n<li>Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>A bias for action and a relentless drive to build something great</li>\n</ul>\n<ul>\n<li>Strong business acumen and a strategic mindset</li>\n</ul>\n<ul>\n<li>Deep technical expertise</li>\n</ul>\n<ul>\n<li>Exceptional communication and presentation skills</li>\n</ul>\n<ul>\n<li>A collaborative and influential partner</li>\n</ul>\n<ul>\n<li>A commitment to user trust and privacy</li>\n</ul>\n<p><strong>Why You&#39;ll Love Working Here</strong></p>\n<ul>\n<li>Impact: You&#39;ll have a direct and meaningful impact on a product designed to empower billions of people</li>\n</ul>\n<ul>\n<li>Growth: We&#39;re a fast-growing team within Google, and you&#39;ll have the opportunity to evolve quickly to meet changing user needs</li>\n</ul>\n<ul>\n<li>Team &amp; Culture: You&#39;ll work with a talented and passionate team of people who are excited about what they do and have fun doing it</li>\n</ul>\n<p><strong>Minimum qualifications</strong></p>\n<ul>\n<li>Master&#39;s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field</li>\n</ul>\n<ul>\n<li>10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Graduate degree in Statistics, Computer Science, Engineering or Mathematics</li>\n</ul>\n<ul>\n<li>Familiarity with modern Machine Learning and LLM techniques</li>\n</ul>\n<ul>\n<li>Strong organization and prioritization skills along 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