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Forward Deployed Engineer (FDE), Life Sciences - SF

OpenAI · San Francisco

Frontier labonsitesenior$185k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead end-to-end AI deployments across drug discovery and development workflows.
  • Ship production-grade AI systems for pharma, biotech and research partners.
  • Turn early deployments into repeatable standards for regulated environments.

What they offer

  • Relocation assistance
  • Equity

Ideal candidate

A customer-obsessed engineer energized by regulated science who turns ambiguous lab and clinical workflows into trusted production systems with measurable impact.

Requirements

  • 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma or clinical research
  • Owned customer GenAI deployments end-to-end from scoping through production adoption with evaluation-driven iteration
  • Delivered AI systems in regulated contexts with validation, auditability and compliance shaping design
  • Communicate clearly across scientific, clinical, technical and executive audiences
  • PhD, MS or equivalent applied experience in a life sciences-relevant field preferred
remote policy
3 days in office per week

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗

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