Senior AI/ML Engineer
On-site · San Francisco, California, United States
Job Summary
Senior AI/ML Engineer to own end-to-end ML systems including data pipelines, training, evaluation, and deployment at scale. Responsibilities include designing and shipping end-to-end ML systems, owning model performance, latency, and cost trade-offs in production, building evaluation harnesses and offline benchmarks, translating ambiguous product goals into measurable model improvements, and mentoring other engineers on ML best practices and code quality. Requires 4+ years of applied ML in production, hands-on experience with LLMs/fine-tuning/RAG or large-scale recommender systems, strong Python and PyTorch (or JAX) fundamentals, and experience with distributed training, GPU optimization, or inference serving; role is presented by a recruiting partner with on-site presence in San Francisco.
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
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