WHOOP

Associate Director, Core Algorithms (Sensor Intelligence Group)

Boston, MA
April 18, 2026
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Deadline date:

Job Description

RESPONSIBILITIES:

  • Lead and scale high-performing teams of machine learning and signal processing engineers, including senior ICs and tech leads

  • Define and drive the roadmap for core algorithm systems and on-device intelligence

  • Guide key architectural and technical tradeoffs across accuracy, latency, power, and system constraints

  • Deliver end-to-end sensor-driven features from research through production deployment

  • Drive cross-functional execution across Firmware, WHOOP Labs, and Product; align stakeholders and manage complex dependencies
    Establish best practices for algorithm development, validation, integration, and lifecycle management

  • Balance long-term innovation with near-term product delivery

  • Develop technical leaders and foster a culture of execution excellence

QUALIFICATIONS:

  • Proven experience leading engineering teams in machine learning, signal processing, or embedded systems, including managing senior ICs or tech leads

  • Strong track record of delivering sensor-driven algorithms or systems into production environments

  • Experience working across hardware, firmware, and data science boundaries, with a systems-level mindset

  • Demonstrated ability to define and communicate technical strategy and guide teams through ambiguity

  • Experience driving cross-functional programs, aligning stakeholders, and influencing without direct authority

  • Strong communication skills, with the ability to translate complex technical concepts to diverse audiences

  • Passion for building teams, developing talent, and scaling engineering organizations

PREFERRED QUALIFICATIONS:

  • Experience with physiological sensing (e.g., PPG, IMU, ECG) or wearable technologies

  • Experience optimizing models for edge deployment (e.g., quantization, latency, power constraints)

  • Background in health, fitness, or consumer hardware products

  • Experience balancing long-term innovation vs. near-term product delivery