HealthLeap aims to prevent and treat overlooked conditions like malnutrition using AI, improving patient outcomes and hospital revenue.
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
Responsibilities
- Design, develop, and maintain end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring
- Experiment with machine learning model architectures and incorporate LLMs into traditional ML systems
- Collaborate with data scientists and software engineers to push models into production environments
- Evaluate and monitor model performance, implementing necessary improvements and updates
- Optimize model performance and scalability
Other
- Opportunity for professional growth in a dynamic, fast-paced startup environment
- San Francisco (hybrid)
- Compensation is dependent on experience, overall fit to our role, and candidate location.
