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About the role
Develop and deploy machine learning solutions while ensuring production reliability and system performance. Collaborate across disciplines to improve systems through experimentation and infrastructure management.
What they look for
Requirements
Requires 5+ years of experience with strong software engineering fundamentals and hands-on ML development. Proficiency in Python and experience with modern ML frameworks and production environments is essential.
Full description
Position: Machine Learning Engineer
Location: San Francisco
Experience: 5+ years
- 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.
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 other high-reliability product environments.
- Experience building ML products in an early-stage startup.
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