Machine Learning Engineer

About this role

Latent Health seeks a Machine Learning Engineer to design and deploy production ML systems that deliver personalized healthcare using clinical knowledge and patient history. You'll own end-to-end ML systems—from problem formulation through production—working on LLM training, model evaluation, and real-world clinical integration in a small, high-impact team.

What you'll do

• Own end-to-end ML systems including architecture, data pipelines, modeling, evaluation, and production infrastructure
• Train and fine-tune large language models for clinical reasoning, medical question answering, and evidence-grounded generation
• Develop evaluation frameworks to ensure model safety and clinical validity in high-stakes environments
• Make tradeoffs across accuracy, latency, cost, and safety for production deployment
• Integrate ML systems into product workflows and patient-facing applications
• Monitor and iterate on system performance based on real-world usage and clinical feedback

What they're looking for

• Machine learning and software engineering fundamentals
• PyTorch or similar deep learning frameworks
• Production ML systems design and deployment
• Large language model training and fine-tuning
• Model evaluation and safety assessment
• Problem formulation in ambiguous domains
• Independent work in high-ambiguity environments
• Product and engineering judgment