Summary written by USA Jobs 24 from OpenAI's advert and our data on 16,958 current US jobs. How we check every job
At a glance
OpenAI is hiring a Forward Deployed Engineer (FDE), Life Sciences - SF in San Francisco, CA. It is a full-time role in Healthcare & Life Sciences, asking for at least 5 years of experience, first listed on November 7. The advertised pay is $185,000–$300,000 a year. The description mentions Generative AI. OpenAI has 149 other openings in the US, 125 of them in San Francisco, CA. Across all employers on USA Jobs 24 there are 46 Healthcare & Pharma openings in San Francisco, CA today; the typical one asks for 8 years and advertises about $261,000 a year at the midpoint.
How the pay compares
OpenAI advertises $185,000 to $300,000 a year, a midpoint of $242,500 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 56% of the 85 healthcare & pharma jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $235,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
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Before you apply
- Check it is still open. We found this job on OpenAI's Ashby site on November 7 and checked it again November 7, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in San Francisco, CA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 5 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Generative AI, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through OpenAI's own site. Our Apply button goes straight to OpenAI's Ashby page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at OpenAI
OpenAI has 150 openings on USA Jobs 24 today across 3 states. Most are in software & IT (50), data & AI (29) and product & design (16). The biggest locations are San Francisco, CA (126), New York, NY (31) and Seattle, WA (5). 7% of them are remote, none is marked entry level and 99% show pay. We collect OpenAI's jobs every day straight from its own careers system (Ashby), never from job boards or agencies.
The employer's advert
This is OpenAI's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from OpenAIHide the advert877 words
About the team
OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.
About the role
We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
In this role, you will:
Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.
Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.
Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.
Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.
Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.
Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.
You might thrive in this role if you:
Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.
Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.
Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.
Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.
Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.
About OpenAI
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.
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 Policy
At 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.
USA Jobs 24 copied this listing from OpenAI's official careers site on November 7, 2026 and checked it again November 7, 5:17 AM ET. OpenAI will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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