Associate Director of Machine Learning (Core Algorithms)

Join WHOOP, a leading performance optimization company, as the Associate Director of Machine Learning (Core Algorithms). In this role, you will lead the teams responsible for WHOOP's cloud-based algorithmic intelligence, ensuring that our algorithms evolve alongside our hardware. You will own the technical vision, execution, and organizational health of the team, driving the evolution of our core production algorithms. You will also partner closely with various teams to define what WHOOP algorithms can enable and how they impact our members.

• Lead the teams responsible for WHOOP's cloud-based algorithmic intelligence, ensuring the evolution of cloud algorithms alongside WHOOP hardware.
• Drive the evolution of core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy and better member experiences.
• Directly manage applied ML scientists and ML engineers, providing coaching, career development, and performance feedback to grow individual contributors into strong technical leaders.

• 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
• Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders
• Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day
• 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
• Experience defining and driving cross-functional programs with engineering, product, and science partners
• 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
• 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