Machine Learning Engineer, Implicit Signals
OpenAI · San Francisco
Frontier labremote$381k–$510k
At a glance
Highlights
- Build production classification systems giving research teams fast feedback.
- Own classifiers from experimentation through deployment and iteration.
- Optimize inference for throughput, latency and cost at scale.
What they offer
- Equity
Ideal candidate
A pragmatic ML engineer who loves turning open-ended research questions into reliable production systems and thrives owning models end-to-end with scientific rigor.
Requirements
- Experience taking ML projects from formulation through production deployment
- Strong foundations in supervised learning, statistics and experimental design
- Experience evaluating models and working with imperfect labels and systematic errors
- Strong software engineering skills building maintainable production ML systems
- Experience reasoning about inference quality, latency and compute cost tradeoffs
- Comfort partnering with researchers and engineers on open-ended problems
- Fluency using AI agents to move quickly across workstreams
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
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