Machine Learning Engineer II - Training

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.

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.

Qualifications

Additional information

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

Interested in the role, but don’t meet every qualification? We encourage you to still apply. At WHOOP, we value character as much as experience and value a diverse and inclusive environment. We encourage anyone interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At WHOOP, total compensation includes base salary, equity, and benefits, with equity serving as a key differentiator that aligns employees with the long-term success of the company. The U.S. base salary range for this full-time position is $125,000-$170,000, and ranges are determined by role, level, and location. Total compensation also includes benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s qualifications, expertise, and alignment with the role’s requirements.

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