Senior ML Engineer, Production Clinical AI Systems

Latent Space; San Francisco (CA); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Equity

Medical insurance

Dental insurance

Vision insurance

Flexible PTO

Parental leave

Fertility stipend

Job summary

Latent is the enterprise pharmacy intelligence platform accelerating prior authorizations, appeals, and 340B compliance to get patients started on therapy faster. As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows, driving deployment from ambiguity to reliable production systems.

We are a small, high-ownership team delivering systems that directly impact patient outcomes in healthcare AI.

Qualifications

• Experience deploying ML systems in production with measurable impact.
• Hands-on with PyTorch or similar frameworks.
• Ability to work independently in high-ambiguity environments with minimal guidance.

Responsibilities

• Own end-to-end ML systems from architecture to production deployment.
• Train and fine-tune LLMs for clinical reasoning and medical QA.
• Develop evaluation frameworks for safety and clinical validity.
• Integrate ML systems into product workflows and patient-facing apps.
• Monitor production performance and iterate from real usage.
• Define what “correct” means in collaboration with engineers and clinicians.

Skills

Machine learning

Software engineering

Production systems

Independent work

Tools

PyTorch

Job description

Latent is the enterprise pharmacy intelligence platform accelerating prior authorizations, appeals, and 340B compliance to get patients started on therapy faster. As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows, driving deployment from ambiguity to reliable production systems.

We are a small, high-ownership team delivering systems that directly impact patient outcomes in healthcare AI.