Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning and data science, with a strong background in designing and deploying ML systems that leverage large datasets. Your expertise in Python allows you to build robust algorithms that can process and analyze physiological data effectively. You understand the importance of delivering production-ready solutions and have experience working with cloud infrastructure, particularly AWS, to ensure scalability and reliability in your projects.

You possess a deep understanding of health metrics and their implications on human performance, which enables you to contribute meaningfully to the development of features that enhance user experience. Your coding skills are complemented by your ability to collaborate with cross-functional teams, including data scientists and backend engineers, to create integrated solutions that meet the needs of WHOOP's members.

Desirable

Experience with clinical research or wellness monitoring is a plus, as it aligns with WHOOP's mission to provide scientifically grounded health insights. Familiarity with continuous physiological data and its applications in health technology will further enhance your contributions to the team.

What you'll do

As a Senior Machine Learning Engineer on the Health team, you will be responsible for designing, building, and productionizing machine learning systems that deliver personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and cloud infrastructure, deploying scalable and reliable ML solutions that utilize physiological and behavioral data streams. Your role will involve collaborating closely with other engineers and researchers to develop novel algorithms and features that expand WHOOP's health capabilities.

You will lead the development of ML models that are not only effective but also user-friendly, ensuring that the insights generated are actionable and impactful for our members. Your responsibilities will include conducting experiments to validate model performance, optimizing algorithms for efficiency, and integrating ML solutions into existing systems. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and innovation within the team.

What we offer

At WHOOP, you will be part of a mission-driven company focused on unlocking human performance and healthspan. We offer a collaborative work environment where your contributions will directly impact the health and wellness of our members. You will have access to cutting-edge technology and resources to support your work, along with opportunities for professional growth and development. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.