{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/adversarial-training"},"x-facet":{"type":"skill","slug":"adversarial-training","display":"Adversarial Training","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_01a10ada-f52"},"title":"Technical Lead, Safety Research","description":"<p><strong>Technical Lead, Safety Research</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>$460K – $555K</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<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>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>As a tech lead, you will be responsible for developing our strategy in new directions to address potential harms from misalignment or significant mistakes. This will in practice include:</p>\n<ul>\n<li>Setting north star goals and milestones for new research directions, and developing challenging evaluations to track progress.</li>\n</ul>\n<ul>\n<li>Personally driving or leading research in new exploratory directions to demonstrate feasibility and scalability of the approaches.</li>\n</ul>\n<ul>\n<li>Working horizontally across safety research and related teams to ensure different technical approaches work together to achieve strong safety results.</li>\n</ul>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Set the research directions and strategies to make our AI systems safer, more aligned and more robust.</li>\n</ul>\n<ul>\n<li>Coordinate and collaborate with cross-functional teams, including the rest of the research organization, T&amp;S, policy and related alignment teams, to ensure that our AI meets the highest safety standards.</li>\n</ul>\n<ul>\n<li>Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies.</li>\n</ul>\n<ul>\n<li>Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.</li>\n</ul>\n<ul>\n<li>Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products.</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>Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness &amp; biases.</li>\n</ul>\n<ul>\n<li>Hold a Ph.D. or other degree in computer science, machine learning, or a related field.</li>\n</ul>\n<ul>\n<li>Possess experience in safety work for AI model deployment</li>\n</ul>\n<ul>\n<li>Have an in-depth understanding of deep learning research and/or strong engineering skills.</li>\n</ul>\n<ul>\n<li>Are a team player who enjoys collaborative work environments.</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.</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_01a10ada-f52","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/273b4c99-273e-4a70-aff9-19c0d959dcef","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$460K – $555K","x-skills-required":["AI safety","RLHF","adversarial training","robustness","fairness & biases","deep learning research","engineering skills"],"x-skills-preferred":["team player","collaborative work environments"],"datePosted":"2026-03-06T18:40:40.069Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI safety, RLHF, adversarial training, robustness, fairness & biases, deep learning research, engineering skills, team player, collaborative work environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":460000,"maxValue":555000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1d33ea55-7f5"},"title":"Researcher, Robustness & Safety Training","description":"<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>$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. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI&#39;s mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.</p>\n<p>The Model Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial.  This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings.  Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities, how to make the model robust to adversaries, how to address privacy and security risks, and how to make the model trustworthy in safety-critical domains.</p>\n<p>We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI.</p>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.</li>\n</ul>\n<ul>\n<li>Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products.</li>\n</ul>\n<ul>\n<li>Set the research directions and strategies to make our AI systems safer, more aligned and more robust.</li>\n</ul>\n<ul>\n<li>Coordinate and collaborate with cross-functional teams, including T&amp;S, legal, policy and other research teams, to ensure that our products meet the highest safety standards.</li>\n</ul>\n<ul>\n<li>Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies.</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you:</strong></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>Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness &amp; biases.</li>\n</ul>\n<ul>\n<li>Hold a Ph.D. or other degree in computer science, machine learning, or a related field.</li>\n</ul>\n<ul>\n<li>Possess experience in safety work for AI model deployment</li>\n</ul>\n<ul>\n<li>Have an in-depth understanding of deep learning research and/or strong engineering skills.</li>\n</ul>\n<ul>\n<li>Are a team player who enjoys collaborative work environments.</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_1d33ea55-7f5","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/2560ed50-5535-42b8-b069-9ebc28ce7493","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$295K – $445K","x-skills-required":["AI safety","RLHF","adversarial training","robustness","fairness & biases","deep learning research","engineering skills"],"x-skills-preferred":["computer science","machine learning","related field"],"datePosted":"2026-03-06T18:37:57.887Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI safety, RLHF, adversarial training, robustness, fairness & biases, deep learning research, engineering skills, computer science, machine learning, related field","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_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. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees,</p>\n<p><strong>Experience Level</strong></p>\n<p>entry</p>\n<p><strong>Employment Type</strong></p>\n<p>full-time</p>\n<p><strong>Workplace Type</strong></p>\n<p>hybrid</p>\n<p><strong>Category</strong></p>\n<p>Engineering</p>\n<p><strong>Industry</strong></p>\n<p>Technology</p>\n<p><strong>Salary Range</strong></p>\n<p>$380K • Offers Equity</p>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Python</li>\n</ul>\n<ul>\n<li>Research experience</li>\n</ul>\n<ul>\n<li>AI safety</li>\n</ul>\n<ul>\n<li>RLHF</li>\n</ul>\n<ul>\n<li>Adversarial training</li>\n</ul>\n<ul>\n<li>Robustness</li>\n</ul>\n<ul>\n<li>LLM evaluations</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Interdisciplinary research</li>\n</ul>\n<ul>\n<li>Socio-technical topics</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_bd0e1e90-d4b","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/71acba5c-dbae-406f-b983-f40943c43068","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$380K • Offers Equity","x-skills-required":["Python","Research experience","AI safety","RLHF","Adversarial training","Robustness","LLM evaluations"],"x-skills-preferred":["Interdisciplinary research","Socio-technical topics"],"datePosted":"2026-03-06T18:35:56.377Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Research experience, AI safety, RLHF, Adversarial training, Robustness, LLM evaluations, Interdisciplinary research, Socio-technical topics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":380000,"maxValue":380000,"unitText":"YEAR"}}}]}