ML Engineer
Company websitegetfreed.ai (Freed, opens in new tab)
Base salary $220K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
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
Develop, evaluate, and improve machine learning models and AI-powered product capabilities.
Build and maintain production ML pipelines, services, and supporting infrastructure.
Design experiments and evaluation frameworks to measure model quality, reliability, and performance.
Collaborate with product and engineering teams to translate user needs into practical technical solutions.
Improve the scalability, efficiency, and reliability of ML systems in production.
Investigate model failures, identify opportunities for improvement, and iterate using real-world feedback.
Contribute to technical decisions and engineering best practices across the ML lifecycle.
What We’re Looking For
Strong software engineering fundamentals and experience building production systems.
Hands-on experience developing and deploying machine learning solutions.
Proficiency in Python and familiarity with modern ML frameworks and tooling.
Experience evaluating model performance and improving systems through experimentation.
Understanding of ML infrastructure, deployment, monitoring, and production reliability.
Ability to work independently, communicate clearly, and collaborate across disciplines.
Comfort operating in a fast-moving environment with evolving technical and product requirements.
Nice to Have
Experience with large language models, generative AI, or speech-related ML systems.
Experience with model evaluation, fine-tuning, or inference optimization.
Familiarity with healthcare technology or other high-reliability product environments.
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.
Source: Freed on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($220,000) is above 69% of the 1,506 Data & ML roles in California listed on this site; 31 others list the same floor. Their median floor is $188,248; the middle half runs from $159,256 to $229,800.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingML Engineer$220K to $300K
GTM Engineer$170K to $210K
Chart as a table
| Role | Published base |
|---|---|
| ML Engineer (this listing) | $220K - $300K |
| GTM Engineer | $170K - $210K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 220,000 – 300,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.