Machine Learning Engineer
LatentAI & company
San Francisco, United States$225,000 - $300,000+Senior
Spark Capital
General Catalyst
Y Combinator
Transformation Capital
Conviction
McKesson Ventures
Data & AI
About the role
TL;DR
Own end-to-end ML systems in real clinical workflows.
- •As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows.
- •Key Responsibilities Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure Train and fine-tune large language models (LLMs) for: Clinical reasoning, Medical question answering, Evidence-grounded generation Make and own tradeoffs across accuracy, latency, cost, and safety in high-stakes production environments Requirements Strong foundation in machine learning and software engineering Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered Hands-on experience with PyTorch or similar frameworks
Required skills
PyTorchTensorFlowscikit-learnNLPLLMsKubernetesAWSCI/CDDocker
Nice-to-have skills
LLMs
Domain expertise
healthcare
Benefits & perks
Competitive compensation, Meaningful equity
Tech stack
PyTorchTensorFlowscikit-learnKubernetesAWSCI/CDDocker