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.