Senior AI/ML Engineer

CleraSan Francisco, CA
Onsite

About The Position

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.

Requirements

  • 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

Responsibilities

  • 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
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