Machine Learning Engineer, Implicit Signals
USD 381,000–510,000 / year
- Company
- Openai
- Location
- San Francisco
- Work mode
- Hybrid
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Not specified
- Employment
- Full-time
- Field
- Data & AI / Machine learning & AI
- Stated pay
- USD 381,000–510,000 / year
- Posted
- 2026-10-13 (33 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Ashby
Machine learning AI / ML engineering & research
About the role
ABOUT THE TEAM Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with research teams to develop useful measurements and make them practical to run. Our work spans classifier development, rigorous evaluation, and efficient production inference, with ownership from initial experimentation through deployment and continued improvement. ABOUT THE ROLE We’re looking for a machine learning engineer to…
Excerpt only. Read the full description and apply at the original posting on Ashby. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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