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.
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
