ML Engineer — Production AI for Clinicians

freed; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Freed is seeking a Machine Learning Engineer in San Francisco to join the Engineering team and drive AI-powered product capabilities. You will develop, evaluate, and deploy ML models, build scalable pipelines, and collaborate with engineers to deliver reliable AI experiences for clinicians.

The role emphasizes solving complex technical problems, rapid iteration, and tangible impact in healthcare-focused AI tools. Join a fast-moving startup environment with meaningful challenges.

Qualifications

• Strong software engineering fundamentals
• Hands-on experience developing and deploying machine learning solutions
• Proficiency in Python and ML frameworks
• Experience evaluating model performance through experiments
• Understanding ML infrastructure, deployment, monitoring, and production reliability
• Ability to work independently and collaborate across disciplines
• Comfort in a fast-moving startup environment

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

Skills

Production ML systems

Python programming

Experimentation

Independent work

Cross-functional collaboration

Education

Master's degree in CS/ML or related field

Tools

TensorFlow/PyTorch

ML tooling & pipelines

Job description

Freed is seeking a Machine Learning Engineer in San Francisco to join the Engineering team and drive AI-powered product capabilities. You will develop, evaluate, and deploy ML models, build scalable pipelines, and collaborate with engineers to deliver reliable AI experiences for clinicians.

The role emphasizes solving complex technical problems, rapid iteration, and tangible impact in healthcare-focused AI tools. Join a fast-moving startup environment with meaningful challenges.