Senior AI/ML Engineer

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.