ML Engineer - Production AI for Clinicians

Freed; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Freed is building AI-powered tools that reduce clinicians' administrative burden in healthcare. We are seeking a Machine Learning Engineer to help develop, improve, and scale the AI systems powering our products for clinicians in a fast-moving startup environment.

You will work at the intersection of applied machine learning, software engineering, and product development, taking ML solutions from experimentation into production and delivering reliable, high-quality AI experiences for healthcare

Qualifications

• Strong software engineering fundamentals.
• Hands-on experience deploying ML solutions.
• Proficiency in Python and ML tooling.
• Experience evaluating model performance and experimentation.
• Understanding ML infrastructure, deployment and production reliability.
• Ability to work independently and communicate clearly.

Responsibilities

• 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 with real-world feedback.
• Contribute to technical decisions and engineering best practices across the ML lifecycle.

Skills

Software engineering

Production ML systems

Python

ML frameworks

Experimentation

Reliability

Communication

Independent work

Job description

Freed is building AI-powered tools that reduce clinicians' administrative burden in healthcare. We are seeking a Machine Learning Engineer to help develop, improve, and scale the AI systems powering our products for clinicians in a fast-moving startup environment.

You will work at the intersection of applied machine learning, software engineering, and product development, taking ML solutions from experimentation into production and delivering reliable, high-quality AI experiences for healthcare