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Boston, Massachusetts, United States • On-site
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Lead and scale teams of machine learning and signal processing engineers to transform physiological sensor data into production-grade intelligence. Define the technical roadmap for core algorithm systems and on-device intelligence across WHOOP device generations.
Requires proven experience leading engineering teams in machine learning or embedded systems with a track record of delivering sensor-driven algorithms. Candidates should possess a systems-level mindset and the ability to drive cross-functional programs across hardware and firmware boundaries.
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 of Engineering, Core Algorithms to define and lead WHOOP’s strategy for transforming physiological sensor data into real-time, production-grade intelligence. This role owns the technical vision and execution for core algorithm systems that power member-facing experiences across generations of WHOOP devices.
You will operate at the intersection of machine learning, signal processing, and embedded systems, defining multi-year technical direction, scaling high-performing teams, and shaping how WHOOP delivers differentiated edge intelligence at scale. You will lead teams driving innovation in on-device intelligence, translating complex physiological data into scalable, high-quality insights while navigating tradeoffs across accuracy, latency, and efficiency. Your leadership will directly influence how WHOOP delivers meaningful, member-centric experiences across product generations.
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
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
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
Solving problems that sit at a unique intersection of hardware, tech, health, fitness and design.
Solving problems that sit at a unique intersection of hardware, tech, health, fitness and design.
Offices: 1325 Boylston St, #401, Boston, MA 02215, US
Based on 1888 listings with disclosed salaries, most data & analytics jobs in Boston, MA pay between $85k–$215k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,246 open data & analytics positions in Boston, MA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include State Street, WHOOP, Liberty Mutual Insurance, Amazon, Publicis Groupe Holdings B.V., among others. Browse the listings above to see every active employer.
Yes — 1237 of the 2246 open data & analytics positions offer remote or hybrid work (260 remote, 977 hybrid).
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