Senior Machine Learning Engineer
On-site · San Francisco, California, United States
San Francisco, California, United StatesOn-siteFull TimeSenior LevelNot SpecifiedUnknown
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Unknown
Job Summary
Own model training pipelines, evaluation systems, and inference serving at scale. Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment. Own model performance, latency, and cost trade-offs in production. Build evaluation harnesses and offline benchmarks for fast iteration. Work directly with product to translate ambiguous goals into measurable model improvements. Mentor other engineers on ML best practices and code quality.
Required Qualifications
- 4+ years of applied ML engineering in production environments
- Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems
- Strong Python and PyTorch (or JAX) fundamentals
- Experience with distributed training, GPU optimization, or inference serving
- Pragmatic about trade-offs between research-grade and ship-grade work
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.