About this role
This position suits experienced engineers who want to own production-grade machine learning systems that impact clinical workflows in San Francisco. Latent is hiring a Machine Learning Engineer to build and deploy foundation models and reinforcement learning infrastructure for healthcare operations.
Role Overview
Latent is seeking a Machine Learning Engineer based in San Francisco to design, build, and operate production-grade machine learning systems operating in clinical workflows. The position focuses on shipping reliable systems from ambiguous problem definitions through to production deployment, targeting senior and staff-level professionals who can take full ownership of critical infrastructure.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Latent operates an enterprise pharmacy intelligence platform powered by a clinical agentic engine designed to help health systems scale pharmacy operations. The platform assists over 60 leading health systems serving approximately 70 million individuals across the patient pharmacy journey. The organization was founded by Sriram Somasundaram and Rishabh Jain, and has secured financial backing from investors including Transformation Capital, Spark Capital, Conviction, General Catalyst, and Y Combinator.
How to Apply
Interested candidates should submit their application directly through the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Machine Learning Engineer role?
The position is located in San Francisco.
What is the salary range and compensation structure?
The salary ranges from $225K to $300K and includes equity offerings.
What experience level is Latent targeting for this hire?
The company is primarily hiring for senior and staff-level engineers.
What benefits are provided with this role?
Benefits include medical, dental, and vision insurance for employees and dependents, flexible PTO, paid parental leave, and a fertility and family-building stipend through Carrot.
What technologies and frameworks are required?
Hands-on experience with PyTorch or similar frameworks is required.
