Freed
ML Engineer
$220K–$300K
San Francisco · Hybrid · Full-time · Posted Oct 30, 2026
About the job
Develops and scales production machine-learning systems and AI product capabilities for tools that reduce healthcare professionals’ administrative burden.
What you'll do
- Develop, evaluate, and improve machine-learning models and AI-powered product capabilities.
- Build and maintain production ML pipelines, services, and infrastructure; improve system scalability, efficiency, and reliability.
- Design evaluation experiments, investigate model failures, and collaborate with product and engineering teams to improve solutions.
What they ask for
- 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 through experimentation; understanding of ML infrastructure, deployment, monitoring, and production reliability.
Nice to have
- 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 high-reliability products.
Pay
$220K – $300K USD base salary
Tools
Python
AI focus
Develop and productionize machine-learning models and AI product capabilities; large language models, generative AI, and speech-related ML systems are nice-to-haves.
Model-written summary · the original posting is authoritative