Backed by 500 Global and SOSV.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they'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
More about this role
Team: Engineering
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.
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.
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,...
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