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WHOOPWHOOPBoston, MA

Associate Director, Core Algorithms (Sensor Intelligence Group)

Leads engineering teams to develop and deploy core algorithms transforming physiological sensor data into real-time intelligence for WHOOP wearables. Defines technical roadmap, manages cross-functional execution, and balances innovation with product delivery, requiring ML, signal processing, and embedded systems expertise.

Salary not listed
On-siteEngineering Management

About the role

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

Skills

Machine LearningSignal ProcessingEmbedded SystemsPythonTensorFlowPyTorchFirmwarePpgImuEcg
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