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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 Associate Director Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep recovery and training insights our members rely on daily. 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.
You will own the technical vision execution and organizational health of this team. 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. You will partner closely with ML Platform Sensor Intelligence Research Product and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically but how they show up for members.
This is a role for someone who has built and shipped physiological ML at scale in a consumer product who has a deep product instinct for what algorithms mean to end users and who knows how to elevate an ML organization's practices: raising the bar on tooling processes and standards to match the ambition of the work.
RESPONSIBILITIES
Lead the cloud ML team responsible for the algorithms powering sleep recovery and training
Directly manage applied ML scientists and ML engineers; provide coaching career development and performance feedback that grows individual contributors into strong technical leaders
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
Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible
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
Establish and improve development lifecycle practices: experiment management model validation deployment pipelines and production monitoring
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
QUALIFICATIONS
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
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
Deep product sense: ability to think about algorithms from the member's perspective drive the vision for what algorithms can enable and ensure the team is building toward meaningful user outcomes
Ability to evaluate technical designs guide architectural decisions and ensure quality at the system level without needing to write code day-to-day
Experience defining and driving cross-functional programs with engineering product and science partners
Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product engineering and executive stakeholders
PREFERRED
Experience building algorithms using physiological or wearable sensor data (e.g. PPG accelerometer temperature bioimpedance)
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
Skills Required
- 8+ years 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
- Experience scaling a production ML organization and improving development lifecycle (velocity reliability rigor)
- Deep product sense for translating algorithms into meaningful user outcomes
- Ability to evaluate technical designs and guide architectural decisions without writing code day-to-day
- Experience defining and driving cross-functional programs with engineering product and science partners
- Strong communication skills translating complex ML concepts to product engineering and executives
- Experience building algorithms using physiological or wearable sensor data (PPG accelerometer temperature bioimpedance)
- Experience managing hardware-coupled development timelines where sensor availability constrains roadmaps
- Familiarity with time-series modeling sequential data and continuous physiological monitoring challenges
What the Team is Saying
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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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