Senior Machine Learning Engineer (Data Science Algorithms)
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Overview
Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$150,000-$210,000/year
Job Description
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. 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.
The Health team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device–grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members.
As a Senior Machine Learning Engineer on our 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 engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.
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.
QUALIFICATIONS:
- 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.
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 believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is 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, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$210,000. 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.
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 specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP.
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FAQs About Senior Machine Learning Engineer (Data Science Algorithms) Jobs at Whoop
What is the work location for this position at Whoop?
This job at Whoop is located in Boston, MA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Whoop?
Candidates can expect a pay range of $150,000 and $210,000 per year.
What employment applies to this position at Whoop?
Whoop lists this role as a Full-time position.
What experience level is required for this role at Whoop?
Whoop is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Whoop?
You can apply for this role at Whoop either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.