About the role
Our client is a well‑funded AI startup building production‑grade ML infrastructure used by enterprise customers. They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems, and inference serving at scale. Full‑time, on‑site in San Francisco.
What you will do
- 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
What we are looking for
- 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
This role is presented by a recruiting partner. Company name shared after an initial conversation.
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