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Latent —San Francisco, CA
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University of California San Francisco —San Francisco, CA
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insitro —South San Francisco, CA
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Li Lab - Junior/Assistant/Associate/Full Specialist
UC San Francisco Academic —San Francisco, CA
- $53,100 - $188,200 a year
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Absentia Labs —San Francisco, CA
- $115,000 - $200,000 a year
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- 5 years
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Research Scientist
Latent —San Francisco, CA
- $225,000 - $300,000 a year
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Neuralink —San Francisco, CA
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University of California San Francisco —San Francisco, CA
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Oura —San Francisco, CA
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Department of Epidemiology and Biostatistics Faculty Position – Epidemiology Assistant or Associate Professor
UC San Francisco Academic —San Francisco, CA
- $93,700 - $189,500 a year
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Liao Lab - Junior/Assistant/Associate/Full Specialist
UC San Francisco Academic —San Francisco, CA
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3d
Senior Clinical Data Scientist
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5d
Applied Scientist, AI
Sprinter Health —San Francisco, CA
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6d
Clinical Operations Specialist
University of California San Francisco —San Francisco, CA
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Verily —San Bruno, CA
- $254,500 - $286,500 a year
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insitro —South San Francisco, CA
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Machine Learning Engineer

Latent
San Francisco, CA

Apply Now

Job Details

Full-time
$225,000 - $300,000 a year

Qualifications

AI models
Software engineering
System development
Machine learning libraries
Machine learning frameworks

Full Job Description

Machine Learning Engineer

About Latent Health

Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family.

For everyone else, care is fragmented and impersonal.

Medical history is scattered across systems that don’t communicate. Physicians have minutes to understand decades of context. And when something goes wrong, patients are left with tools that understand medicine broadly—but not the individual.

We believe this can be fundamentally rebuilt.

At Latent Health, we are building systems that understand both:

the population (clinical knowledge at scale)
and the individual (longitudinal patient history)

Our models are designed to answer complex clinical questions with patient-specific context and verifiable reasoning.

Our dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. Each patient record contains extraordinary depth.

ML at Latent Health

The Machine Learning team is responsible for building systems that run in real clinical workflows.

We work on:

Verifiable reinforcement learning at scale
Mid-training and post-training of foundation models
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.

We are a small team and expect engineers to take ownership of critical systems, not components.

The Role

As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows.

You will drive systems from ambiguous problem definition through to reliable production deployment, setting technical direction along the way.

We are primarily hiring for senior and staff-level engineers who are comfortable owning critical systems end-to-end.

This role involves owning systems that directly impact real patient outcomes.

What You’ll Do

Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure
Train and fine-tune large language models (LLMs) for:
- Clinical reasoning
- Medical question answering
- 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

What We’re Looking For

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 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 — you know when to use ML, when not to, and how to scope problems accordingly
Comfort working in a fast-moving, early-stage environment
Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)

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

Why Join Latent Health

Work on high-stakes problems with real impact on patient care
Build systems that define how AI is trusted in clinical decision-making
Significant ownership in a small, high-caliber team
Competitive compensation and meaningful equity

Location

We are based in San Francisco and work together in person.

We spend most of the week in the office and prioritize candidates who are excited to work this way.

Compensation

Base salary: $225,000 – $300,000+
Meaningful equity in an early-stage, Series A company

Closing

If you’re interested in building systems that bring truly personalized healthcare to millions of patients, we’d love to talk.

Apply Now

Refine Your Search

machine learning biomedical jobs in san francisco bay area ca

Machine Learning Engineer

Founding Machine Learning Engineer

Machine Learning Scientist, Multimodal AI

Data Scientist

Machine Learning Researcher

Staff Scientist, Bioinformatics

Senior Machine Learning Scientist, Imaging

Li Lab - Junior/Assistant/Associate/Full Specialist

Senior AI / Machine Learning Engineer

Research Scientist

Neuroengineer, Next Gen

Research Data Manager

Senior Human Factors Researcher

Department of Epidemiology and Biostatistics Faculty Position – Epidemiology Assistant or Associate Professor

Liao Lab - Junior/Assistant/Associate/Full Specialist

Senior Clinical Data Scientist

Applied Scientist, AI

Clinical Operations Specialist

Staff AI Applied Scientist

(Senior) ML Scientist

I want to receive the latest job alert for machine learning biomedical in san francisco bay area ca

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Machine Learning Engineer

About Latent Health

ML at Latent Health

The Role

What You’ll Do

What We’re Looking For

Nice to Have

Why Join Latent Health

Location

Compensation

Closing

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