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The Role
Lead embedded machine learning engineers to develop scalable algorithms for WHOOP wearable devices, optimizing performance and collaborating with cross-functional teams.
Summary Generated by Built In
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
We are seeking an Engineering Manager, Sensor Intelligence (Edge AI) to lead a team of embedded machine learning engineers building scalable algorithms deployable on constrained edge devices. Your team will design, optimize, and maintain ML algorithms that run directly on WHOOP wearables devices, transforming raw physiological signals into robust, real-time insights.
As a leader, you will combine technical depth in edge/embedded ML with strong people management skills. You will set direction, drive execution, and partner closely with cross-functional teams to ensure WHOOP’s edge intelligence is accurate, efficient, and reliable in real-world conditions.
RESPONSIBILITIES:
- Lead and Develop a High-Performing Team: Manage, mentor, and support Sensor Intelligence Engineers focused on embedded ML, providing regular feedback, coaching, and clear growth paths.
- Own Edge-Deployed Algorithms: Oversee the design, implementation, and maintenance of machine learning algorithms running on WHOOP’s wearable platform, ensuring they perform reliably on resource-constrained devices.
- Collaborate with Cross-Functional Partners: Work closely with Data Science, WHOOP Labs, Firmware, Software, and Product to define requirements, integration points, and success metrics for edge-deployed algorithms.
- Optimize for Performance and Power: Lead the team in balancing accuracy, latency, memory usage, and power consumption, including the use of techniques such as model compression, quantization, and efficient architectures.
- Champion Engineering Rigor: Establish and uphold best practices for testing, code quality, documentation, and observability for algorithms deployed on embedded platforms.
- Contribute to Technical Strategy: Help define the roadmap and long-term strategy for edge AI at WHOOP, including platform capabilities, tooling, and approaches for safely updating models in the field.
- Support Recruiting and Org Building: Partner with recruiting to attract and hire top embedded ML talent, and help shape the culture and operating model of the Sensor Intelligence Group.
QUALIFICATIONS:
- Proven experience as a technical leader managing multiple teams or a growing engineering organization.
- Experience growing high level individual contributor career growth at the staff level or higher.
- 5+ years of industry experience in signal processing, machine learning, embedded systems, or a closely related field, including 2+ years in a people management or technical lead role with mentorship responsibilities.
- Strong programming proficiency in C and/or C++, with additional experience in Python or similar languages for prototyping and model development.
- Hands-on experience developing and optimizing machine learning models or algorithms for embedded, including deployment on devices with limited compute, memory, and power budgets.
- Proven ability to lead projects end-to-end, collaborating with cross-functional partners and balancing technical tradeoffs against product and business needs.
- Excellent written and verbal communication skills, with a track record of conveying complex technical topics to diverse audiences and aligning stakeholders around decisions.
- Passion for building high-performing teams, fostering growth, and creating systems that scale to power WHOOP’s mission.
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.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
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.
Top Skills
C
C++
Embedded Systems
Machine Learning
Python
What the Team is Saying
Anahis
Staff Tech Lead - Mechanical Engineering
Josh
Lead Designer
Manan Dedhia
Field Quality Manager
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The Company
What We Do
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.
Why Work With Us
At WHOOP, we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.
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WHOOP Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
4 days a week
