Job Description

About the TeamSafety Research at OpenAI is responsible for ensuring our most capable models can be safely deployed in the real world. The Safety Training team develops the research and engineering methods that shape model behavior through post-training, reinforcement learning, evaluation, and deployment feedback.Our work focuses on making models helpful, reliable, and aligned with safety policies across model types, modalities, and product surfaces. We work across both longer-term safety research and the core post-training work needed to improve production models.About the RoleWe are seeking researchers to advance safety training for OpenAI’s models. You will develop methods that improve model behavior after pretraining, including RLHF, RLAIF, DPO, PPO, preference optimization, adversarial training, synthetic data generation, safety evaluations, and model behavior analysis.This role is highly cross-functional. You will work with core training teams, product teams, policy, legal, trust and safety, and domain experts to identify risks, design interventions, train models, evaluate outcomes, and launch safety improvements in OpenAI products.In this role, you will:Conduct research on safety post-training methods, including RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training, synthetic data, and scalable oversightDevelop and implement model training interventions that make models safer, more reliable, and more aligned with user intentBuild evaluations and measurement infrastructure for safety harms, high-stakes reliability failures, policy adherence, jailbreak robustness, multimodal risks, agent behavior, and domain-specific risksTranslate ambiguous safety problems into concrete research plans, datasets, training runs, evals, and product-facing improvementsAnalyze model failures such as hallucination, unsafe tool use, prompt injection, privacy leakage, over-refusal, under-refusal, sycophancy, and deceptive or misleading behaviorPartner with domain experts to design safety training approaches for areas like cyber, privacy, youth safety, wellbeing, and other frontier-risk domainsCollaborate with research and deployment teams to ensure safety improvements are incorporated into OpenAI’s core model training and product launchesYou might thrive in this role if you:Have hands-on experience training, fine-tuning, or post-training language models, multimodal models, or agentic systemsHave experience with RL, RLHF, RLAIF, DPO, PPO, reward modeling, preference optimization, instruction tuning, or related post-training methodsCare deeply about shaping model behavior in real-world systems, not only publishing researchAre excited by open-ended safety problems where the right method, dataset, eval, or training objective may not be obvious at the startBring strong research judgment and strong engineering ability, including comfort running experiments, analyzing model behavior, and working with large-scale ML systemsHave experience in one or more relevant domains: agents, tool use, multimodal models, cyber/security, reliability, uncertainty calibration, factuality, evals, privacy, youth safety, wellbeing, or applied alignmentEnjoy collaborating across research, engineering, product, policy, legal, and trust and safety teamsHold a PhD in machine learning, computer science, or a related field, or have equivalent practical research or engineering experienceNice to have:Experience improving production model behavior through post-training or deployment feedbackExperience building safety evals, automated graders, red-teaming systems, or monitoring pipelinesExperience working with human feedback, expert feedback, synthetic data, or policy-grounded training dataExperience in safety-critical or abuse-sensitive domains where models must balance helpfulness, refusal, uncertainty, and user intentAbout OpenAIOpenAI 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.Compensation Range: $380K - $500KLocationSan Francisco; London, UKEmployment TypeFull timeDepartmentSafety SystemsCompensation$380K – $500K • Offers EquityThe 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.Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings AccountsPre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)401(k) retirement plan with employer matchPaid 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)Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees13+ 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)Mental health and wellness supportEmployer-paid basic life and disability coverageAnnual learning and development stipend to fuel your professional growthDaily meals in our offices, and meal delivery credits as eligibleRelocation support for eligible employeesAdditional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.More details about our benefits are available to candidates during the hiring process.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.

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