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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_faee4fa2-887"},"title":"Prompt Engineer, Claude Code","description":"<p>As a Prompt Engineer on the Claude Code team, you&#39;ll own Claude&#39;s behaviours specifically within Claude Code , ensuring users get a consistent, safe, and high-quality experience as we ship new models and evolve the product.</p>\n<p>This is a highly specialized role sitting at the intersection of model behaviour and product quality. You&#39;ll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you&#39;re the person making sure Claude Code feels right within days , not weeks.</p>\n<p>You&#39;ll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.</p>\n<p>This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You&#39;ll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own Claude Code&#39;s system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned</li>\n<li>Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks</li>\n<li>Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams</li>\n<li>Scale prompting and evaluation best practices across claude code and product teams.</li>\n<li>Deliver product evaluations focused on model behaviours</li>\n<li>Define and streamline processes for rolling out prompt changes, including launch criteria and review practices</li>\n<li>Create model-specific prompt guides that document quirks and optimal prompting strategies for each release</li>\n<li>Collaborate with product teams to translate feature requirements into effective prompts</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations</li>\n<li>Thrive in high-intensity environments with fast iteration cycles</li>\n<li>Take full ownership of problems and drive them to completion independently</li>\n<li>Are skilled at creating and maintaining behavioural evaluations</li>\n<li>Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes</li>\n<li>Are an experienced coder comfortable working in Python and Typescript</li>\n<li>Have independently driven changes through production systems with strong execution and responsiveness</li>\n<li>Have experience translating user feedback and product needs into coherent prompts and behavioural specifications</li>\n<li>Excel at working across 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You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;</li>\n</ul>\n<ul>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n</ul>\n<ul>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n</ul>\n<ul>\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>Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;</li>\n</ul>\n<ul>\n<li>Experience with red-teaming or adversarial testing of AI systems;</li>\n</ul>\n<ul>\n<li>Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).</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’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’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’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_f931591c-87a","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/4677657005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["machine learning","generative AI","ML pipelines","evaluation harnesses","AI safety policy frameworks"],"x-skills-preferred":["crafting evaluations and benchmarks","data science roles related to LLM technologies","red-teaming or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:58:57.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, generative AI, ML pipelines, evaluation harnesses, AI safety policy frameworks, crafting evaluations and benchmarks, data science roles related to LLM technologies, red-teaming 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_ba66dcb1-8d9"},"title":"Research Scientist, AI Controls and Monitoring","description":"<p>We&#39;re seeking a Research Scientist to join our team focused on AI Controls and Monitoring. As a key member of our team, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.</p>\n<p>Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.</p>\n<p>To succeed in this role, you&#39;ll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.</p>\n<p>In addition to your technical expertise, you&#39;ll need strong written and verbal communication skills to operate in a cross-functional team.</p>\n<p>This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ba66dcb1-8d9","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/4675694005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Machine Learning","Generative AI","AI Control Protocols","AI Risk Evaluations","Runtime Monitoring","Anomaly Detection","Observability"],"x-skills-preferred":["Post-Training and RL Techniques","Scalable Oversight","Interpretability","Debate"],"datePosted":"2026-04-18T15:58:38.219Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Generative AI, AI Control Protocols, AI Risk Evaluations, Runtime Monitoring, Anomaly Detection, Observability, Post-Training and RL Techniques, Scalable Oversight, Interpretability, Debate","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_3a1ecaac-284"},"title":"Global Leader, Applied AI Architects, Beneficial Deployments","description":"<p>As the Global Leader of Applied AI Architects for Beneficial Deployments, you will lead a team of Applied AI Architects who serve as the primary technical partners to mission-driven organisations and non-profits adopting Claude. You&#39;ll build and scale a world-class, globally distributed team that turns frontier AI into real impact in education, global health, economic mobility, and life sciences.</p>\n<p>You&#39;ll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You&#39;ll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you&#39;ll be accountable for the team, processes, and cross-functional relationships that make that possible.</p>\n<p>In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you&#39;ll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You&#39;ll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences</li>\n</ul>\n<ul>\n<li>Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure</li>\n</ul>\n<ul>\n<li>Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence</li>\n</ul>\n<ul>\n<li>Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships</li>\n</ul>\n<ul>\n<li>Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously</li>\n</ul>\n<ul>\n<li>Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure</li>\n</ul>\n<ul>\n<li>Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves</li>\n</ul>\n<ul>\n<li>Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations</li>\n</ul>\n<ul>\n<li>Travel to partner sites globally for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership 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improves model accuracy and honesty</li>\n</ul>\n<ul>\n<li>Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims</li>\n</ul>\n<ul>\n<li>Create tools to help human evaluators efficiently assess model outputs for accuracy</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have an MS/PhD in Computer Science, ML, or related field</li>\n</ul>\n<ul>\n<li>Possess strong programming skills in Python</li>\n</ul>\n<ul>\n<li>Have industry experience with language model finetuning and classifier training</li>\n</ul>\n<ul>\n<li>Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy</li>\n</ul>\n<ul>\n<li>Care about AI safety and the accuracy and honesty of both current and future AI systems</li>\n</ul>\n<ul>\n<li>Have experience in data science or the creation and curation of datasets for finetuning LLMs</li>\n</ul>\n<ul>\n<li>An understanding of various metrics of uncertainty, 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However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. 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If you&#39;re excited about this role but your past experience doesn&#39;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a83d61da-062","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/5721527004","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["8+ years professional experience","4+ years of sales engineering or solution consulting experience in a SaaS organization","Demonstrated ability to adapt to new technologies and learn quickly","Responsible for positioning technology presales, successfully establishing success criteria and leading evaluations","Familiarity with the enterprise SaaS ecosystem, front end development and product lifecycle experience"],"x-skills-preferred":["Experience using or working with Figma, or building design systems","Front end development and developer lifecycle experience"],"datePosted":"2026-04-18T15:56:49.731Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"8+ years professional experience, 4+ years of sales engineering or solution consulting experience in a SaaS organization, Demonstrated ability to adapt to new technologies and learn quickly, Responsible for positioning technology presales, successfully establishing success criteria and leading evaluations, Familiarity with the enterprise SaaS ecosystem, front end development and product lifecycle experience, Experience using or working with Figma, or building design systems, Front end development and developer lifecycle experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9ab5cbc-dd6"},"title":"Research Engineer, Performance RL","description":"<p>We&#39;re hiring a Research Engineer to join our Code RL team within the RL organization. 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As a Staff Applied AI Engineer, you will be a cross-functional AI leader and strategic thought partner. This role exists to define Komodo&#39;s long-term AI capabilities, set company-wide technical standards, architect foundational AI systems, and guide teams toward scalable, safe, and innovative AI development.</p>\n<p>You will influence data strategy, drive build-vs-buy evaluations, and meaningfully shift Komodo&#39;s AI-native infrastructure and culture. 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Proficiency in advanced engineering analysis, including structural, thermal, and/or electrical domains, is also a plus.</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_c59397c0-a59","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/5032457007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$129,000-$171,000 USD","x-skills-required":["mechanical engineering","CAD software","manufacturing methods","hypersonic missile systems","military standards","electrical and mechanical subsystems","Siemens NX","Teamcenter software"],"x-skills-preferred":["air vehicle subsystem layouts","architectural trade studies","vendor data evaluations","advanced engineering analysis","structural analysis","thermal analysis","electrical analysis"],"datePosted":"2026-04-18T15:46:39.325Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Costa Mesa, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"mechanical engineering, CAD software, manufacturing methods, hypersonic missile systems, military standards, electrical and mechanical subsystems, Siemens NX, Teamcenter software, air vehicle subsystem layouts, architectural trade studies, vendor data evaluations, advanced engineering analysis, structural analysis, thermal analysis, electrical analysis","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_a0355e9d-a71"},"title":"Research Lead, Training Insights","description":"<p>As a Research Lead on the Training Insights team, you&#39;ll develop the strategy for, and lead execution on, how we measure and characterise model capabilities across training and deployment. This is a hands-on leadership role: you&#39;ll drive original research into new evaluation methodologies while leading a small team of researchers and research engineers doing the same.</p>\n<p>Your work will span the full lifecycle of model development. You&#39;ll research and build new long-horizon evaluations that test the boundaries of what our models can achieve, develop novel approaches to measuring emerging capabilities, and deepen our understanding of how those capabilities develop , both during production RL training and after. You&#39;ll also take a cross-organisational view, working across Reinforcement Learning, Pretraining, Inference, Product, Alignment, Safeguards, and other teams to map the landscape of model evaluations at Anthropic and identify critical gaps in coverage.</p>\n<p>This role carries significant visibility and impact. 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work to directly influence how capable AI systems are developed and deployed</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building evaluations for long-horizon or agentic tasks</li>\n<li>Deep familiarity with Reinforcement Learning training dynamics and how model behaviour changes during training</li>\n<li>Published research in machine learning evaluation, benchmarking, or related areas</li>\n<li>Experience with safety evaluation frameworks and red teaming methodologies</li>\n<li>Background in psychometrics, experimental psychology, or other measurement-focused disciplines</li>\n<li>A track record of communicating evaluation results to inform high-stakes decisions about model development or deployment</li>\n<li>Experience managing or mentoring researchers and engineers</li>\n</ul>\n<p>Representative projects:</p>\n<ul>\n<li>Designing and implementing a suite of long-horizon evaluations that test model capabilities on tasks requiring sustained reasoning, planning, and tool use over extended interactions</li>\n<li>Building systems to track capability development across RL training checkpoints, surfacing insights about when and how specific capabilities emerge</li>\n<li>Conducting a cross-org audit of evaluation coverage, identifying blind spots, and prioritising new evaluations to fill critical gaps across Pretraining, RL, Inference, and Product</li>\n<li>Developing the evaluation methodology and narrative for a major model release, working with research leads and communications to clearly characterise model capabilities and limitations</li>\n<li>Researching and prototyping novel evaluation approaches for capabilities that are difficult to measure with existing benchmarks</li>\n<li>Leading a team effort to build reusable evaluation infrastructure that serves multiple teams across the research organisation</li>\n</ul>\n<p>The annual compensation range for this role is $850,000.</p>\n<p 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Disciplines"],"datePosted":"2026-04-18T15:46:21.084Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly (Travel Required) | San Francisco, CA; San Francisco, CA | New York City, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Reinforcement Learning, Evaluation Methodologies, Research Leadership, Team Management, Communication, Results-Oriented, Fast-Paced Environments, Long-Horizon Evaluations, Agentic Tasks, Safety Evaluation Frameworks, Red Teaming Methodologies, Psychometrics, Experimental Psychology, Measurement-Focused 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Your core focus will be on age-appropriate design and experiences, including child safety, age assurance, content classification, and adult sexual content.</p>\n<p>You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate.</p>\n<p>Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.</p>\n<p>You may be a good fit if you have experience:</p>\n<p>As a researcher, subject matter expert, or trust &amp; safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy.</p>\n<p>Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions.</p>\n<p>Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems.</p>\n<p>Working with generative AI products, including writing effective prompts for policy evaluations and classifier development.</p>\n<p>Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams.</p>\n<p>Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space.</p>\n<p>Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations.</p>\n<p>Navigating and prioritizing work efforts amidst ambiguity.</p>\n<p>The annual compensation range for this role is $245,000-$285,000 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_74c9dcaa-dfd","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/5156326008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245,000-$285,000 USD","x-skills-required":["child safety","age assurance","content classification","adult sexual content","policy development","enforcement guidelines","safety interventions"],"x-skills-preferred":["generative AI","classifier development","policy evaluations","product policy decisions","content moderation"],"datePosted":"2026-04-18T15:43:08.493Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"child safety, age assurance, content classification, adult sexual content, policy development, enforcement guidelines, safety interventions, generative AI, classifier development, policy evaluations, product policy decisions, content moderation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":285000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e9e4db5-6e0"},"title":"Enterprise Account Executive, Industries","description":"<p>About the role</p>\n<p>Anthropic&#39;s Industries team partners with the world&#39;s largest enterprises across retail, manufacturing, automotive, consumer goods, hospitality, and commercial real estate to deploy frontier AI into the core of how they operate. As an Enterprise Account Executive on the Industries team, you&#39;ll own a named book of accounts and the full revenue outcome for each. 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$100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. 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. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.</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_a1eb5337-935","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/5039318007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["financial reporting","consolidations","internal controls","U.S. GAAP","accounting analysis","explanations","evaluations","AI models","complex accounting concepts","sophisticated accounting scenarios","model reasoning","accounting standards","sound accounting judgments"],"x-skills-preferred":["corporate financial accounting","public accounting","SEC-reporting organizations","complex transactions","judgment-intensive accounting matters","technical accounting analyses","research memoranda","disclosure analyses","case-based materials","peer-reviewed publication","academic or practitioner-oriented accounting journals","scholarly output","teaching experience","financial accounting","intermediate/advanced accounting","auditing","related subjects"],"datePosted":"2026-04-18T15:31:27.167Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"financial reporting, consolidations, internal controls, U.S. GAAP, accounting analysis, explanations, evaluations, AI models, complex accounting concepts, sophisticated accounting scenarios, model reasoning, accounting standards, sound accounting judgments, corporate financial accounting, public accounting, SEC-reporting organizations, complex transactions, judgment-intensive accounting matters, technical accounting analyses, research memoranda, disclosure analyses, case-based materials, peer-reviewed publication, academic or practitioner-oriented accounting journals, scholarly output, teaching experience, financial accounting, intermediate/advanced accounting, auditing, related subjects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2229587a-286"},"title":"Coordinator Respiratory Therapy","description":"<p>This position is eligible for a Commitment Incentive Bonus:</p>\n<p>$10,000 commitment incentive bonus with a two (2) year work commitment, or a $15,000 commitment incentive bonus, with a three (3) year work commitment. In addition, this position is also eligible for relocation assistance (amounts based on location distance) and our employee referral program ($3,000 referral bonus to employees who refer other Respiratory Therapists)</p>\n<p>WEEKENDS REQUIRED PER STAFFING NEEDS</p>\n<p>Become part of an inclusive organisation with over 40,000 teammates, whose mission is to improve the health and well-being of the unique communities we serve.</p>\n<p>Summary:</p>\n<p>Serves as Respiratory Therapist and assists in coordinating staffing and training activities for other therapists in the department.</p>\n<p>Responsibilities:</p>\n<ol>\n<li>Implements appropriate pulmonary education plan according to the individualised needs of the patient with full consideration of patient safety needs.</li>\n</ol>\n<ol>\n<li>Supervises the activity of the clinical staff.</li>\n</ol>\n<ol>\n<li>Provides objective performance evaluations of the clinical staff.</li>\n</ol>\n<ol>\n<li>Coordinates clinical staff scheduling.</li>\n</ol>\n<ol>\n<li>Coordinates and supervises orientation of new respiratory care personnel.</li>\n</ol>\n<ol>\n<li>Assists in the determination and implementation of cost-effective procedures.</li>\n</ol>\n<ol>\n<li>Recommends new policies and procedures, and revisions of such to the manager.</li>\n</ol>\n<ol>\n<li>Responsible for the clinical proficiency of the respiratory care staff.</li>\n</ol>\n<ol>\n<li>Coordinates cardiopulmonary continuing education events for the respiratory care staff and allied health personnel.</li>\n</ol>\n<ol>\n<li>Participates as a cardiopulmonary resource liaison in hospital-related committees, training sessions and other activities.</li>\n</ol>\n<ol>\n<li>Maintains accurate department records.</li>\n</ol>\n<p><strong>Other Information</strong></p>\n<p>Other information:</p>\n<p><strong>Education Requirements:</strong></p>\n<p>Bachelor&#39;s Degree required within 3 years of hire. Prefer candidates with Bachelor&#39;s upon hire.</p>\n<p><strong>Licensure/Certification Requirements:</strong></p>\n<p>RRT with adult and neonatal intensive care experience required. ACLS, BCLS, NRP, PALS, RRT</p>\n<p><strong>Professional Experience Requirements:</strong></p>\n<p>Requires three (3) years of previous related experience in the field of respiratory therapy.</p>\n<p><strong>Knowledge/Skills/and Abilities Requirements:</strong></p>\n<p>LANGUAGE SKILLS: Ability to read, analyse, and interpret clinical information, professional journals and technical procedures. Ability to document clinical information. Ability to write reports and procedure manuals. Ability to effectively communicate information and respond to questions from patients, physicians, family members and groups of managers.</p>\n<p>MATHEMATICAL SKILLS: Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry.</p>\n<p>REASONING ABILITY: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.</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_2229587a-286","directApply":true,"hiringOrganization":{"@type":"Organization","name":"UNC Health","sameAs":"https://jobs.unchealthcare.org","logo":"https://logos.yubhub.co/jobs.unchealthcare.org.png"},"x-apply-url":"https://jobs.unchealthcare.org/jobs/17624077-coordinator-respiratory-therapy","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$35.87 - $51.57 per hour (Hiring Range)","x-skills-required":["Respiratory Therapy","Pulmonary Education","Clinical Staff Supervision","Performance Evaluations","Scheduling","Orientation","Cost-Effective Procedures","Policy Development","Clinical Proficiency","Cardiopulmonary Continuing Education","Communication"],"x-skills-preferred":[],"datePosted":"2026-04-16T18:47:21.174Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh"}},"employmentType":"FULL_TIME","occupationalCategory":"Healthcare","industry":"Healthcare","skills":"Respiratory Therapy, Pulmonary Education, Clinical Staff Supervision, Performance Evaluations, Scheduling, Orientation, Cost-Effective Procedures, Policy Development, Clinical Proficiency, Cardiopulmonary Continuing Education, Communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d01f9436-f2a"},"title":"R&D Engineering, Sr Staff Engineer","description":"<p>You are a highly skilled and knowledgeable professional with a passion for applied digital security of HW and SW implementations. With a PhD or advanced MS degree in Electrical Engineering or Computer Sciences, you bring profound expertise in implementations of cryptography and embedded security. You are an expert in side-channel and fault injection analysis and countermeasure development, and you are experienced with physical security evaluations.</p>\n<p>Your excellent presentation and communication skills enable you to interact effectively across teams and at various levels within the organisations. You thrive in collaborative environments, always ready to help others succeed.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Designing, optimising and testing physical security architectures (and SW) for cryptographic implementations across all Security IP products.</li>\n</ul>\n<ul>\n<li>Coordinating with Security IP product development teams for in-depth and effective physical security assessment, and deployment of countermeasures.</li>\n</ul>\n<ul>\n<li>Coordinating, preparing and driving validation and certification projects for security IP products by external evaluation labs.</li>\n</ul>\n<ul>\n<li>Providing consulting to R&amp;D and management on security risk analysis of security IP products and giving input for product road maps.</li>\n</ul>\n<p><strong>Impact:</strong></p>\n<ul>\n<li>Improving the overall physical attack resistance of our security IP modules, mitigating known and unknown risks and threats.</li>\n</ul>\n<ul>\n<li>Obtaining product security certifications which demonstrate the quality and security of our security IP products to customers.</li>\n</ul>\n<ul>\n<li>Further driving the successful adoption of an overall physical security mindset in the security IP R&amp;D teams and contributing to product development through collaborative input and valuable feedback.</li>\n</ul>\n<ul>\n<li>Establishing and elevating Synopsys&#39; market position as a leader in security IP product.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>PhD degree (equivalent by experience) in Electrical Engineering, Computer Science, or a related field, with 5+ years of relevant working experience.</li>\n</ul>\n<ul>\n<li>In-depth knowledge of and experience in digital security implementations (and SW) in the broad sense.</li>\n</ul>\n<ul>\n<li>Hands-on experience with side-channel attacks and countermeasures, and fault-injection analysis and countermeasures.</li>\n</ul>\n<ul>\n<li>Advanced understanding of practical modern cryptography and cryptographic standards.</li>\n</ul>\n<ul>\n<li>Prior experience with validation and certification projects by evaluation labs is a plus.</li>\n</ul>\n<ul>\n<li>Experience with RTL development, embedded SW development and FPGA-based prototyping is a plus.</li>\n</ul>\n<p><strong>Team:</strong></p>\n<p>The security engineering team is part of the Security IP group which offers market-leading products and solutions for embedded security applications. You will be part of a worldwide dedicated sub-team focusing on physical security of all Security IP products.</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_d01f9436-f2a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/eindhoven/r-and-d-engineering-sr-staff-engineer/44408/92727418144","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["digital security","cryptography","embedded security","side-channel attacks","fault injection analysis","countermeasure development","physical security evaluations","RTL development","embedded SW development","FPGA-based prototyping"],"x-skills-preferred":[],"datePosted":"2026-04-05T13:21:59.048Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eindhoven"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"digital security, cryptography, embedded security, side-channel attacks, fault injection analysis, countermeasure development, physical security evaluations, RTL development, embedded SW development, FPGA-based prototyping"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6698827b-052"},"title":"Optical Applications Engineer, Staff","description":"<p>We are seeking a highly skilled Optical Applications Engineer to join our team in Singapore. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. 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use","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1149c30-15f"},"title":"Threat Modeler, Preparedness","description":"<p><strong>Threat Modeler, Preparedness</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Safety Systems</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.</p>\n<p>Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.</p>\n<p>The mission of the Preparedness team is to:</p>\n<ol>\n<li>Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society</li>\n</ol>\n<ol>\n<li>Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems</li>\n</ol>\n<p>Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.</p>\n<p><strong>About the Role</strong></p>\n<p>As a threat modeler, you will own OpenAI’s holistic approach to identifying, modeling, and forecasting frontier risks from frontier AI systems. This role ensures that our evaluation frameworks, safeguards, and taxonomies are robust, high-coverage, and forward-looking. You will help the company answer the “why” behind our most stringent risk-prevention efforts, shaping the rationale for prioritizing and mitigating risks across domains. You will serve as a central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to frontier risks from AI.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Develop and maintain comprehensive threat models across all misuse areas (bio, cyber, attack planning, etc.)</li>\n</ul>\n<ul>\n<li>Develop plausible and convincing threat models across loss of control, self-improvement, and other possible alignment risks from frontier AI systems</li>\n</ul>\n<ul>\n<li>Forecast risks by combining technical foresight, adversarial simulation, and emerging trends</li>\n</ul>\n<ul>\n<li>Pair closely with technical partners on capability evaluations to ensure these map to and cover the gambit of severe risks differentially enabled by frontier AI systems</li>\n</ul>\n<ul>\n<li>Pair closely with Bio and Cyber Leads to size the remaining risk of the designed safeguards and translate threat models into actionable mitigation designs</li>\n</ul>\n<ul>\n<li>Act as the thought partner and explainer of “why” and “when” for high-investment mitigation efforts—helping stakeholders understand the rationale behind prioritization</li>\n</ul>\n<ul>\n<li>Serve as the central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to misuse risk</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Understand risks from frontier AI systems and have a strong grasp of AI alignment literature</li>\n</ul>\n<p>Bring deep experience in threat modeling, risk analysis, or adversarial thinking (e.g., security, national security, or safety)</p>\n<ul>\n<li>Know how AI evaluations work and can connect eval results to both capability testing and safeguard sufficiency</li>\n</ul>\n<ul>\n<li>Enjoy working across technical and policy domains to drive rigorous, multidisciplinary risk assessments</li>\n</ul>\n<ul>\n<li>Communicate complex risks clearly and compellingly to both technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>Think in systems and naturally anticipate second-order and cascading risks</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and that requires a deep understanding of the potential risks and benefits of AI.</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_b1149c30-15f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/f735a48e-c3c2-4387-abf7-7b39452e1ec5","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$325K • Offers Equity","x-skills-required":["threat modeling","risk analysis","adversarial thinking","AI alignment literature","AI evaluations","capability testing","safeguard sufficiency"],"x-skills-preferred":["security","national security","safety","technical writing","communication"],"datePosted":"2026-03-06T18:40:46.437Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"threat modeling, risk analysis, adversarial thinking, AI alignment literature, AI evaluations, capability testing, safeguard sufficiency, security, national security, safety, technical writing, communication","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b01a6d01-525"},"title":"Researcher, Synthetic RL","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Researcher, Synthetic RL</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Research</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $445K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology.</p>\n<p><strong>About the Role</strong></p>\n<p>As a <strong>Research Scientist</strong> on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems.</p>\n<p>We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Research and develop reinforcement learning algorithms</li>\n</ul>\n<ul>\n<li>Design and run experiments to study training dynamics and model behavior at scale</li>\n</ul>\n<ul>\n<li>Collaborate with engineers and researchers to integrate successful approaches into model training pipelines</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong background in reinforcement learning, machine learning research, or related fields</li>\n</ul>\n<ul>\n<li>Have strong engineering and statistical analysis skills</li>\n</ul>\n<ul>\n<li>Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving</li>\n</ul>\n<ul>\n<li>Are motivated by seeing research ideas influence real-world AI systems</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b01a6d01-525","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/60d3700b-ba82-4fa6-a6bb-7b2b67070510","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$295K – $445K • Offers Equity","x-skills-required":["reinforcement learning","machine learning research","engineering","statistical analysis"],"x-skills-preferred":["self-play","simulators","synthetic evaluations"],"datePosted":"2026-03-06T18:40:07.490Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"reinforcement learning, machine learning research, engineering, statistical analysis, self-play, simulators, synthetic evaluations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":445000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b0c58796-627"},"title":"Research Engineer, Frontier Evals & Environments","description":"<p><strong>Job Posting</strong></p>\n<p>Research Engineer, Frontier Evals &amp; Environments</p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Research</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$205K – $380K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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This team builds ambitious environments to measure and steer our models, and creates self-improvement loops to steer our training, safety, and launch decisions. Some of the team&#39;s open-sourced evaluations include GDPval, SWE-bench Verified, MLE-bench, PaperBench, and SWE-Lancer, and the team built and ran frontier evaluations for GPT4o, o1, o3, GPT 4.5, ChatGPT Agent, and GPT5. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good, this is the team for you.</p>\n<p><strong>About you</strong></p>\n<p>We seek exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI capabilities measurement and will own individual threads within this endeavor end-to-end.</p>\n<p><strong>In this role, you&#39;ll:</strong></p>\n<ul>\n<li>Create ambitious RL environments to push our models to their limits</li>\n</ul>\n<ul>\n<li>Work on measuring frontier model capabilities, skills, and behaviors</li>\n</ul>\n<ul>\n<li>Develop new methodologies for automatically exploring the behavior of these models</li>\n</ul>\n<ul>\n<li>Help steer training for our largest training runs, and see the future first</li>\n</ul>\n<ul>\n<li>Design scalable systems and processes to support continuous evaluation</li>\n</ul>\n<ul>\n<li>Build self-improvement loops to automate model understanding</li>\n</ul>\n<p><strong>We expect you to be:</strong></p>\n<ul>\n<li>Passionate and knowledgeable about AGI/ASI measurement</li>\n</ul>\n<ul>\n<li>Strong engineering and statistical analysis skills</li>\n</ul>\n<ul>\n<li>Able to think outside the box and have a robust “red-teaming mindset”</li>\n</ul>\n<ul>\n<li>Experienced in ML research engineering, stochastic systems, observability and monitoring, LLM-enabled applications, and/or another technical domain applicable to AI evaluations</li>\n</ul>\n<ul>\n<li>Able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end</li>\n</ul>\n<p><strong>It would be great if you also have:</strong></p>\n<ul>\n<li>First-hand experience in red-teaming systems—be it computer systems or otherwise</li>\n</ul>\n<ul>\n<li>An ability to work cross-functionally</li>\n</ul>\n<ul>\n<li>Excellent communication skills</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b0c58796-627","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/bba18df5-f30f-4d2c-909c-30e651f95579","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$205K – $380K • Offers Equity","x-skills-required":["ML research engineering","stochastic systems","observability and monitoring","LLM-enabled applications","AI evaluations"],"x-skills-preferred":["red-teaming systems","cross-functional collaboration","communication skills"],"datePosted":"2026-03-06T18:38:17.127Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"ML research engineering, stochastic systems, observability and monitoring, LLM-enabled applications, AI evaluations, red-teaming systems, cross-functional collaboration, communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":205000,"maxValue":380000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bd0e1e90-d4b"},"title":"Researcher, Trustworthy AI","description":"<p><strong>Researcher, Trustworthy AI</strong></p>\n<p><strong>About the team</strong></p>\n<p>The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI&#39;s mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.</p>\n<p><strong>About the role</strong></p>\n<p>We are looking to hire exceptional research scientists/engineers that can push the rigor of work needed to increase societal readiness for AGI. Specifically, we are looking for those that will enable us to translate nebulous policy problems to be technically tractable and measurable.</p>\n<p><strong>In this role, you will enable:</strong></p>\n<ul>\n<li>Set research and strategies to study societal impacts of our models in an action-relevant manner and figure out how to tie this back into model design</li>\n</ul>\n<ul>\n<li>Build creative methods and run experiments that enable public input into model values</li>\n</ul>\n<ul>\n<li>Increasing rigor of external assurances by turning external findings into robust evaluations</li>\n</ul>\n<ul>\n<li>Facilitating and growing our ability to effectively de-risk flagship model deployments in a timely manner</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter</li>\n</ul>\n<ul>\n<li>Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.</li>\n</ul>\n<ul>\n<li>Possess 3+ years of research experience (industry or similar academic experience) and proficiency in Python or similar languages</li>\n</ul>\n<ul>\n<li>Thrive in environments involving large-scale AI systems and multimodal datasets</li>\n</ul>\n<ul>\n<li>Enjoy working on large-scale, difficult, and nebulous problems in a well-resourced environment</li>\n</ul>\n<ul>\n<li>Exhibit proficiency in the field of AI safety, focusing on topics like RLHF, adversarial training, robustness, LLM evaluations</li>\n</ul>\n<ul>\n<li>Have past experience in interdisciplinary research</li>\n</ul>\n<ul>\n<li>Show enthusiasm for socio-technical topics</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<ul>\n<li>$380K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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This includes enabling third party assessments for OpenAI’s flagship launches, piloting new assurance mechanisms like safety compliance reviews, and incorporating independent expert input as evidence for critical safety decisions. This role requires a blend of partnership management, cross functional coordination, an understanding of AI safety research and evaluations, and strong communication skills to synthesize findings and translate into decision relevant actions.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Program Manager on the Trustworthy AI team, you will drive interdisciplinary programs in collaboration with external partners. This includes strategizing and executing on the vision for strategic research partnerships, and growing and managing our external assurance programs which include third party assessments and enabling independent academic research.</p>\n<p>We’re looking for people who have experience running strategic academic collaborations and program management with technical and research teams. You will work with researchers/engineers both internal to OpenAI and as a part of the external community to initiate new projects, set ambitious goals and milestones, and drive execution across multiple teams.</p>\n<p>This role is based in San Francisco, CA. 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We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software.</p>\n<p>This role is based in San Francisco, CA. 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Our team has developed some of the most advanced models for agentic research, query understanding, and other domains that require accuracy and depth. As we expand our userbase and portfolio of product surfaces, our in-house models are increasingly critical to providing a premium, high-taste experience for the world’s most sophisticated users.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>You will dive into our rich datasets of conversational and agentic queries, leveraging cutting-edge training techniques to scale AI model performance. 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