Senior Machine Learning Scientist (Sensor Intelligence)

WHOOP; Boston (MA); On-site; USD 150,000 - 215,000; Full time

Benefits offered by this job

Generous equity package

Comprehensive benefits

Job summary

WHOOP is seeking a Senior Machine Learning Scientist for its Boston office. The role involves developing machine learning systems that enhance health coaching for members, requiring collaboration across teams and significant experience in machine learning and deep learning. Applicants should ideally possess a relevant Bachelor's degree and five or more years of experience in a similar field. The position offers a competitive salary range of $150,000 to $215,000, alongside a generous benefits package and equity opportunities.

Qualifications

• 5+ years of experience as a Machine Learning Scientist or similar role.
• Experience with time-series models and self-supervised training.
• Strong commitment to leveraging AI tools in day-to-day tasks.

Responsibilities

• Research, architect, and develop ML systems for member coaching.
• Collaborate with ML engineers to translate prototypes to production.
• Contribute to architectural decisions providing ML best practices.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Cloud Platforms (AWS or GCP)

Communication Skills

Education

Bachelor's degree in Computer Science or related field

Master’s or PhD degree

Tools

CI/CD tools

Deep Learning frameworks

Job description

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing and scaling machine learning systems that power the most foundational health features at WHOOP. You’ll enable next-generation AI coaching at WHOOP, developing robust algorithms for constrained edge and cloud environments, ultimately delivering meaningful and personalized coaching to millions of members.

RESPONSIBILITIES

• Research, architect, and develop ML systems for member coaching distributed between edge hardware and the cloud
• Collaborate with machine learning and edge ML engineers to translate prototypes into production
• Partner with product and user experience teams to ensure consistent user experience in bandwidth‑constrained environments and to align with member impact and health insights goals
• Contribute to architectural decisions and mentor team members in ML best practices

QUALIFICATIONS

• Bachelor's degree in Computer Science, Electrical/Computer Engineering, Applied Mathematics, or a related field; Master’s or PhD degree preferred
• 5+ years of experience as a Machine Learning Scientist or similar role with a focus on applied research, preferably related to voice and/or text‑based conversational systems
• Experience training, fine‑tuning, and deploying state‑of‑the‑art deep learning architectures to production
• Experience with time‑series foundation models and self‑supervised training approaches
• Experience pre‑training and fine‑tuning small language models and/or building natural language understanding (NLU) models that run on resource‑constrained targets
• Experience with cloud platforms (AWS or GCP) and familiarity with modern MLOps practices such as CI/CD, model versioning, monitoring, and observability
• Strong communication and collaboration skills across cross‑functional teams
• Strong commitment to embracing and leveraging AI tools in day‑to‑day tasks, ensuring AI‑assisted work aligns with the same high‑quality standards as personal contributions

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.

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.

The U.S. base salary range for this full‑time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job‑related skills, experience, performance, and relevant education or training.

In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.