Whoop
Whoop7mo ago

Senior Machine Learning Engineer (Data Science Algorithms)

United StatesUnited States·Bostonsenior
Data ScienceMachine Learning EngineerDataData & AI
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Quick Summary

Overview

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance.

Technical Tools
Data ScienceMachine Learning EngineerDataData & AI
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. 
  • 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 services, ensuring uptime and performance in production environments
  • Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). 
  • 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
  • Strong coding skills in Python with a track record of writing clean, production-quality code
  • Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
  • Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
  • Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
  • Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
  • Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
  • Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data) 

    • Location & Eligibility

    Where is the job
    Boston, United States
    On-site at the office
    Who can apply
    US
    Listed under
    United States

    Listing Details

    Posted
    September 25, 2025
    First seen
    March 25, 2026
    Last seen
    May 4, 2026

    Posting Health

    Days active
    40
    Repost count
    0
    Trust Level
    29%
    Scored at
    May 5, 2026

    Signal breakdown

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    WHOOP is the performance optimization system that helps elite athletes and teams win.

    Employees
    125
    Founded
    2012
    Domain
    whoop.com
    Jobs
    View 170 jobs
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