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
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Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment
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Own model performance, latency, and cost trade-offs in production
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Build evaluation harnesses and offline benchmarks for fast iteration
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Work directly with product to translate ambiguous goals into measurable model improvements
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Mentor other engineers on ML best practices and code quality
What we are looking for
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4+ years of applied ML engineering in production environments
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Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems
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Strong Python and PyTorch (or JAX) fundamentals
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Experience with distributed training, GPU optimization, or inference serving
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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.