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Entry Level Medical Machine Learning Jobs (NOW HIRING)

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Medical history is scattered across systems that don't communicate. Physicians have minutes to ...

Vilya

Machine Learning Engineer

Seattle, WA · On-site

$154K - $174K/yr

Vilya's ultimate goal is to solve some of the most challenging unmet medical needs that exist today ... Develop and maintain the infrastructure to support machine learning workflows for drug discovery at ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Clifton Park, NY

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Clifton Park, NY

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Apple

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

Play a part in building the next revolution of machine learning technology. We're looking for ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90.90K - $254.10K/yr

About the Role : We are in search of an exceptional Machine Learning Engineer to join our ... Comprehensive Medical, Dental, and Vision insurance options * 401(K) plan with matching * Dog ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA

$136.80K - $280K/yr

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

Profluent

Machine Learning Scientist

Emeryville, CA · On-site +1

$180K - $250K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into ... medical conditions, veteran status, sexual orientation, gender (including gender identity and ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

The New York Times

Machine Learning Scientist

New York, NY · On-site

$121K - $131K/yr

We are a group of machine learning scientists and data analysts that partner with teams across The ... Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a ...

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Entry Level Medical Machine Learning information

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How much do entry level medical machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level medical machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Medical Machine Learning jobs? The most popular types of Medical Machine Learning jobs are:
Entry Level Medical Machine Learning jobs near you
Infographic showing various Entry Level Medical Machine Learning job openings in the United States as of May 2026, with employment types broken down into 40% Full Time, 54% Part Time, 3% Contract, and 3% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer

Latent

San Francisco, CA • On-site

$225K - $300K/yr

Full-time

Posted 25 days ago

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