WHOOP
Technology
SeniorMachineLearningEngineer(DataScienceAlgorithms)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer (Data Science Algorithms) at WHOOP. Skills: Machine Learning, Data Science, Algorithm Development. Develop and deploy machine learning models. Build and maintain data pipelines”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
4+ years of experience, Bachelor's degree
Nice to Have
PhD preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified certification preferred, Dbt Certified certification preferred
What You'll Do.
Develop and deploy machine learning models
Build and maintain data pipelines
Design and implement data solutions
Collaborate with cross-functional teams
Analyze complex datasets
Improve model performance
Ensure data quality and integrity
Communicate findings to stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Communicate findings
Full Job Description
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our data science algorithms teams are responsible for developing novel algorithms and features that expand our health and fitness capabilities with medical-grade metrics. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. Currently, we have two Senior MLE roles open across two teams: DS Health team: novel algorithms within the domains of women's health, multimodal longitudinal health insights, and SaMD DS Core Algos team: performance-related insights for sleep, recovery, or exercise As a Senior Machine Learning Engineer on our Core Algos or Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineer, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions build on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and ability to deliver production-ready ML systems. RESPONSIBILITIES: - - Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers - Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance - Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency - Collaborate with researchers and product teams to align model development with physiological insights and member impact - Participate in on-call rotations for data science s
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