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Applied ML Engineer, Healthcare AI

Posted yesterday

aitoolnavioMillbrae (CA)

SENIORITY

Lead

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About the role

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.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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