Machine Learning Engineer II - Training at Whoop

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Health Tech, Fitness, WearablesIndustries

Requirements

Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
2+ years of ML engineering, applied research, or a similar role
2+ years experience applying advanced mathematical and statistical techniques
Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
Preferred experience working with time series data, preferably with wearable data applications
Proficiency in scientific Python and SQL
Excellent verbal and written communication skills
Based in the WHOOP office located in Boston, MA (prepared to relocate if necessary)

Responsibilities

Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
Work closely with a team of data scientists in developing algorithms that power member-facing features
Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

Skills

Key technologies and capabilities for this role

PythonMachine LearningTime SeriesData PipelinesML OpsAlgorithm DesignModel TrainingModel DeploymentSensor DataWearables

Questions & Answers

Common questions about this position

Is this role remote or office-based?

This role is based in the WHOOP office in Boston, MA, and the successful candidate must be prepared to relocate if necessary to work out of the Boston office.

What are the key qualifications for this Machine Learning Engineer II position?

Candidates need a Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field, 2+ years of ML engineering or similar, 2+ years applying advanced mathematical and statistical techniques, experience deploying production ML systems on cloud platforms, and proficiency in scientific Python and SQL.

What is the salary for this position?

This information is not specified in the job description.

What is the team structure like for this role?

You'll collaborate closely with data scientists, ML Ops, software engineering teams, and data engineers, while working with a team of data scientists on algorithms for member-facing features.

What makes a strong application for this role?

Highlight your experience developing ML models with large datasets in Python, deploying production ML systems, and working with time series or wearable data; even if you don't meet every qualification, WHOOP encourages you to apply.

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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