ML Engineer
San Francisco, CA · HybridFull-time$220–300K/yrPosted 4 days agoStill listed 2 days ago
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At a glance
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Job overview
Freed is building AI-powered tools to reduce administrative work for healthcare professionals. The Machine Learning Engineer works across applied machine learning, software engineering, and product development, taking ML solutions from experimentation into production. The role develops and improves AI systems for clinicians, collaborating with engineering and product partners to build reliable experiences and improve production performance.
Skills & qualifications
Skills
Full job description
Machine Learning Engineer Location: San Francisco, CA Team: Engineering Employment Type: Full-time About Freed Freed is building AI-powered tools that reduce the administrative burden on healthcare professionals, giving clinicians more time to focus on patient care. We’re looking for a Machine Learning Engineer to help develop, improve, and scale the AI systems powering our products. About the Role As a Machine Learning Engineer at Freed, you’ll work at the intersection of applied machine learning, software engineering, and product development. You’ll help take ML solutions from experimentation into production, working closely with engineers and cross-functional partners to build reliable, high-quality AI experiences for clinicians. This role is ideal for someone who enjoys solving complex technical problems, moving quickly, and seeing their work make a tangible impact. What You’ll Do
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Develop, evaluate, and improve machine learning models and AI-powered product capabilities.
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Build and maintain production ML pipelines, services, and supporting infrastructure.
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Design experiments and evaluation frameworks to measure model quality, reliability, and performance.
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Collaborate with product and engineering teams to translate user needs into practical technical solutions.
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Improve the scalability, efficiency, and reliability of ML systems in production.
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Investigate model failures, identify opportunities for improvement, and iterate using real-world feedback.
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Contribute to technical decisions and engineering best practices across the ML lifecycle.
What We’re Looking For
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Strong software engineering fundamentals and experience building production systems.
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Hands-on experience developing and deploying machine learning solutions.
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Proficiency in Python and familiarity with modern ML frameworks and tooling.
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Experience evaluating model performance and improving systems through experimentation.
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Understanding of ML infrastructure, deployment, monitoring, and production reliability.
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Ability to work independently, communicate clearly, and collaborate across disciplines.
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Comfort operating in a fast-moving environment with evolving technical and product requirements.
Nice to Have
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Experience with large language models, generative AI, or speech-related ML systems.
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Experience with model evaluation, fine-tuning, or inference optimization.
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Familiarity with healthcare technology or other high-reliability product environments.
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Experience building ML products in an early-stage startup.
Why Freed? At Freed, you’ll work on meaningful technical challenges with a direct connection to the people using what you build. You’ll have the opportunity to take ownership, influence technical direction, and help shape AI products that make clinicians’ lives easier.
How this job compares
Set against the 6,068 open Machine Learning Engineer jobs on Olive Jobs, counted November 2, 2026.
- Pay
- This posting$220–300K/yr
- California median$176–261K/yr1,359 salary ranges
- US median$150–245K/yr4,824 salary ranges
This range's midpoint, $260K, is 17% above the California median midpoint ($222K) — in the middle half of Machine Learning Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,837 open Machine Learning Engineer jobs in California and 6,068 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,863 postings).
- Education
- 2,299 of the 6,068 open Machine Learning Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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