OpenAI
Machine Learning Engineer, Implicit Signals
$381K–$510K
San Francisco · Hybrid · Full-time · Posted Oct 13, 2026
About the job
Develops and operates production classification and evaluation systems that help research and post-training teams assess model behavior and improve models and products.
What you'll do
- Build, deploy, and operate classification and evaluation systems, including training classifiers through supervised fine-tuning and distillation.
- Optimize production inference and maintain deployed classifiers’ reliability, observability, and performance.
- Design rigorous evaluations and collaborate with researchers and engineers to turn research needs into production-ready systems.
What they ask for
- Experience taking ML projects from problem formulation and experimentation through production deployment.
- Strong foundations in supervised learning, statistics, and experimental design.
- Practical experience evaluating models, investigating systematic errors, and working with imperfect labels.
- Strong software engineering skills and ability to build maintainable production ML systems.
Nice to have
- Experience with model distillation, representation learning, calibration, or efficient inference.
- Fluency in using AI agents to move quickly across multiple workstreams.
Pay
$381K – $510K USD base salary
AI focus
Builds classification and evaluation capabilities, trains and evaluates classifiers, and brings them into production to provide feedback on model behavior.
Model-written summary · the original posting is authoritative