HealthLeap helps prevent and treat impactful but overlooked conditions with advanced, high-precision AI. Starting with malnutrition, one of healthcare’s most underdiagnosed conditions, our AI platform screens every hospital patient daily. We've validated our ability to deliver better patient outcomes, shorter hospital stays, and millions of dollars in revenue for health systems. We’ve partnered with top hospitals like Cedars-Sinai, and are backed by top-tier VCs like Sequoia and First Round. As a seed startup, we’re working with some of the largest and most state-of-the-art health systems in the country. We’re also co-publishing a research paper (currently undergoing peer review) with clinical leaders from Johns Hopkins, Stanford Health, and Cedars-Sinai in a high-impact journal.

We believe we can deliver the largest, measurable customer benefits hospitals have seen from technology deployments, and seek to be their most loved partner.

We're looking for an exceptional Machine Learning Engineer to join our dynamic team and play a pivotal role in revolutionizing AI driven healthcare. As a key member of our engineering team, you will own our end-to-end MLOps pipelines, develop cutting-edge machine learning models, and drive their deployment to production. This is an opportunity to make a significant impact on patient lives by unlocking the potential in healthcare data and scaling our platform to improve patient outcomes.

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

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

We Provide:

• Competitive salary with performance-based incentives

• Comprehensive Healthcare Benefits - we cover 100% of premiums for employees

• Unlimited Paid Time Off - we need you at your best at all times. Our recommended time off of 20 PTO days per year lets you schedule your work around your life.

• 401K match of up to 4% of employee salary

• Laptop and equipment budget to set up your at-home office environment

• Lunch, snacks, and drinks are provided in the office to ensure you never go hungry :)

• Opportunity for professional growth in a dynamic, fast-paced startup environment

Location: San Francisco (hybrid)

Compensation is dependent on experience, overall fit to our role, and candidate location.

If you're excited to shape the future of AI-powered healthcare and drive real clinical impact, we'd love to hear from you. Join HealthLeap and help us maximize the health of as many people as possible.