HealthLeap

Founding Machine Learning Engineer

HealthLeap

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • Own and maintain end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring
  • Design, develop, and maintain machine learning models and incorporate LLMs into traditional ML systems
  • Experiment with machine learning model architectures and optimize model performance and scalability
  • Collaborate with data scientists and software engineers to push models into production environments
  • Evaluate and monitor model performance, implementing necessary improvements and updates
  • Drive deployment to production and scale the platform to improve hospital patient outcomes

Requirements

  • 6+ years of experience with Machine Learning and Backend Software Engineering
  • Proven track record of deploying ML models at scale
  • Strong proficiency in Python, ML frameworks, and software engineering best practices
  • Experience with big data processing and feature engineering
  • Excellent problem-solving skills and ability to explore novel model architectures
  • Eagerness to build from 0 to 1 and unlock potential in healthcare data
  • Willingness to live in the Bay Area or relocate (role requires a hybrid in-office schedule at our San Francisco, Mission District HQ)
  • Authorization to work in the U.S. (application asks about U.S. work authorization)