Machine Learning Engineer

The role

You will own the design, development, and operation of production-grade ML systems for clinical workflows. This involves training and fine-tuning large language models for clinical reasoning, medical question answering, and evidence-grounded generation.

What you will do

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

Required qualifications

• 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
• Experience driving ambiguous ML problems from 0 to 1, including problem formulation, model design, and productionization
• Hands-on experience with PyTorch or similar frameworks
• Ability to operate independently in high-ambiguity environments with minimal guidance
• Strong product and engineering judgment
• Comfort working in a fast-moving, early-stage environment
• Experience working on systems where decisions have real-world consequences

Nice to have

• Experience deploying LLMs in production environments
• Experience building distributed systems or large-scale data pipelines
• Experience working with clinical, biomedical, or other regulated datasets

Benefits

• Competitive compensation, including meaningful equity
• Medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy
• Paid parental leave
• Fertility and family-building stipend through Carrot

About the company

Latent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients. The company has raised $80 million from investors including Transformation Capital, Spark Capital, Conviction, General Catalyst, and Y Combinator.