At WHOOP, the business problem is to unlock human performance and healthspan by empowering members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
Requirements
- Proven experience as a technical leader managing multiple teams or a growing engineering organization.
- 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.
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.
Other
- Proven experience growing high level individual contributor career growth at the staff level or higher.
- 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.
- Must be prepared to relocate if necessary to work out of the Boston, MA office.
- The successful candidate will also receive benefits and a generous equity package.
