ML Engineer

• 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.

About Freed

Machine Learning Engineer

Freed is building AI-powered tools that reduce the administrative burden on healthcare professionals, giving clinicians more time to focus on patient care.

Responsibilities

About Freed

• 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.

Requirements

• 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.

Preferred

• 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.

Benefits

• 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.