ML Engineer
At a glance
Mid-level Machine Learning Engineering role at Freed. San Francisco · full-time · $220,000–$300,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Develop and refine machine learning models and AI product features, then bring useful solutions into production
- Build and support ML pipelines, services, and infrastructure that keep deployed systems running
- Set up experiments and evaluation methods to track model quality, reliability, and performance
- Work with product and engineering teams to turn user needs into workable technical designs
- Trace model failures and use real-world feedback to improve production systems’ scale, speed, and reliability
What you bring
- You have strong software engineering skills and have built systems used in production
- You have hands-on experience creating and deploying machine learning solutions
- You can use Python and are familiar with current machine learning frameworks and tools
- You have evaluated model performance through experiments and understand ML deployment, monitoring, and production reliability
Who this fits
This mid-level role suits an engineer who can work independently and collaborate across product and engineering. You’ll work in a fast-moving setting where technical and product needs can change. The role is based in San Francisco and is hybrid.
From the employer
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.
Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
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Machine Learning Engineering$220k+
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