Applied ML Engineer, Healthcare AI

AItoolnavio; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Freed is seeking a Machine Learning Engineer in San Francisco to help build, scale, and improve AI-powered tools for clinicians. You’ll work at the intersection of applied ML, software engineering, and product development, turning experiments into production-ready solutions.

You’ll join a fast-moving team, tackle complex problems, and contribute to reliable, high-quality AI experiences for healthcare professionals.

Qualifications

• 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.

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

Python

Production systems

ML frameworks

Experimentation

Collaboration

Clear communication

Independent work

Tools

PyTorch

TensorFlow

ML pipelines

Monitoring tools

Job description

Freed is seeking a Machine Learning Engineer in San Francisco to help build, scale, and improve AI-powered tools for clinicians. You’ll work at the intersection of applied ML, software engineering, and product development, turning experiments into production-ready solutions.

You’ll join a fast-moving team, tackle complex problems, and contribute to reliable, high-quality AI experiences for healthcare professionals.