Latent
Machine Learning Engineer
San Francisco · Staff+
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- We work on verifiable reinforcement learning at scale, mid-training and post-training of foundation models, and novel objectives derived from longitudinal patient data.
- We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production, and we expect engineers to take ownership of critical systems, not components.
- We are primarily hiring for senior and staff-level engineers who are comfortable owning critical systems end-to-end.
Responsibilities
- Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure
- 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
- Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered
- Experience driving ambiguous ML problems from 0→1, including problem formulation, model design, and productionization
Requirements
- Hands-on experience with PyTorch or similar frameworks
- Ability to operate independently in high-ambiguity environments with minimal guidance
- Strong product and engineering judgment - you know when to use ML, when not to, and how to scope problems accordingly
- Comfort working in a fast-moving, early-stage environment
Nice to have
- Experience deploying LLMs in production environments
- Experience working with clinical, biomedical, or other regulated datasets
- Backed by top-tier investors including General Catalyst, Conviction, and Y Combinator
- Real ownership and visibility
- High-impact role on a small, fast-growing team
Compensation
- Competitive compensation, including meaningful equity
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
- Medical question answering
- Strong foundation in machine learning and software engineering
- 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.
Company info
- Founded by Sriram "Sri" Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.
This listing is sourced directly from Latent's careers page and normalized into a canonical job model.