# Associate Director, Core Algorithms (Sensor Intelligence Group)

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** Engineering Management
**Skills:** Machine Learning, Signal Processing, Embedded Systems, Python, TensorFlow, PyTorch, Firmware, Ppg, Imu, Ecg
**Posted:** 2026-04-17

> 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.

## 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

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