Senior Machine Learning Engineer (Health) at Whoop

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Fitness Technology, WearablesIndustries

Requirements

Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred
5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems
Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)
Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines
Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code
Strong communication skills to collaborate across engineering, research, and product teams
Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems
Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems
Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale
Prepared to relocate if necessary to work out of the Boston, MA office

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 health insights and member impact
Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

Skills

Key technologies and capabilities for this role

Machine LearningMLOpsData PipelinesBackend EngineeringCloud InfrastructureSystem DesignProduction ML SystemsData Science

Questions & Answers

Common questions about this position

What experience level is required for this Senior Machine Learning Engineer role?

The role requires 5+ years of professional experience as a Machine Learning Engineer or Software Engineer with a focus on ML systems.

What technical skills are essential for this position?

Key skills include strong coding in Python (scientific stack) and SQL, expertise with time series data especially physiological or sensor data, and experience designing and deploying ML inference systems at scale on cloud platforms like AWS or GCP.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What kind of collaboration is expected in this role?

You will collaborate with Data Scientists, MLOps Engineers, Data Engineers, researchers, and product teams to build ML systems, improve data pipelines, and align with health insights.

Whoop

Wearable fitness tracker with personalized insights

About Whoop

WHOOP offers a fitness membership that focuses on improving personal health and performance through a wearable device called the WHOOP Strap 3.0. This device continuously collects physiological data, including heart rate, sleep patterns, and recovery levels, to provide users with personalized recommendations on their daily activity, sleep needs, and readiness for performance. Unlike many competitors, WHOOP operates on a subscription model, where users pay a fee to access the membership, which includes the device and continuous insights through the WHOOP app. This model not only provides a steady revenue stream but also fosters a strong community among users, encouraging engagement through teams, challenges, and social features. The goal of WHOOP is to help users optimize their health and performance while minimizing injury risk.

Boston, MassachusettsHeadquarters

2012Year Founded

$393.7MTotal Funding

SERIES_FCompany Stage

Data & Analytics, HealthcareIndustries

501-1,000Employees

Benefits

Take Time Off: Time outside of the office is important for sleep, strain and recovery! Our PTO plan encourages members to take time off in order to come back refreshed.

Live a Healthy Lifestyle: Our competitive benefits package includes premium medical, dental, and vision coverage for employees and their dependents. Life and disability insurance are also available.

Feel Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP. Work means more when you have personal stake. You have ownership in what we are building.

Eat Well: Keep hunger at bay with endless snacks in our fully stocked kitchen. Enjoy catered team lunches on Friday, and even a cold brew keg.

Know The Product: We want you to understand and experience the product firsthand. We offer you a WHOOP strap and membership at no cost.

Be Active: Take advantage of our office gym and on-site showers! WHOOP also offers a $500 yearly wellness perk for fitness classes and memberships.

Be Present: It’s important to be present when bringing home a new family member. Take care of your loved ones with 12 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.

Love Where You Work: Sitting in the heart of Fenway, our beautiful office overlooks Fenway Park. A prime location for great food, not to mention catching a Sox game, too!

Work Hard, Play Harder: If we don't already have a club here that fits your lifestyle and interests, you're encouraged to start one. Share your passions with others at work, or discover new ones!

Risks

Increased competition from brands like Oura and Fitbit threatens market share.

Privacy concerns over data collection could lead to regulatory challenges.

Economic downturns may affect consumer willingness to pay subscription fees.

Differentiation

WHOOP offers 24/7 physiological data tracking with its WHOOP Strap 3.0.

The company provides personalized health insights for athletes and fitness enthusiasts.

WHOOP's subscription model includes a community aspect for user engagement.

Upsides

WHOOP's partnership with Cristiano Ronaldo boosts brand visibility and credibility.

Expansion into 56 markets enhances WHOOP's global presence and growth potential.

Collaborations with brands like Assos strengthen WHOOP's position in sports technology.

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