Whoop
Associate Director, Machine Learning (Core Algorithms)
Boston, MA · Director · Full-time
Sponsorship not specified$200k-$245kDetected 9 days ago
AlgorithmsMachine LearningData ScienceMLOpsResearchLeadershipCommunicationMentoring
About the role
- This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences.
- Interested in the role, but don't meet every qualification?
- WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.
Responsibilities
- Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training
- Directly manage applied ML scientists and ML engineers
- Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary
- partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness
- Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability
- Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams
- Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders
- Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness
- WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives.
- You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices.
Requirements
- Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor
- Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders
- Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps
- Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product
- 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams
Compensation
- 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 cor
Benefits
- You will own the technical vision, execution, and organizational health of this team.
- Help drive the vision for what WHOOP algorithms and next-generation sensors can enable
Company info
- At WHOOP, we're on a mission to unlock human performance and healthspan.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.