Associate Director, Machine Learning (Medtech)

TL;DR

Associate Director, Machine Learning (Medtech): Leading the cloud-based algorithmic intelligence teams to transform physiological data into health insights with an accent on workout detection, sleep staging, and recovery. Focus on scaling the production ML organization, improving development lifecycle practices, and aligning algorithmic evolution with hardware capabilities.

Location: Must be based in or be able to relocate to Boston, MA

Salary: $200,000 - $245,000

Company

Wearable technology company on a mission to unlock human performance and healthspan through deep physiological data analysis.

What you will do

• Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training insights.
• Manage and coach applied ML scientists and engineers to grow them into strong technical leaders.
• Establish technical quality bars, processes, and standards for rigorous algorithm development from research to deployment.
• Drive the technical vision for next-generation sensors and their corresponding algorithmic experiences.
• Partner with ML Platform and MLOps to improve experiment tracking, model monitoring, and deployment automation.
• Coordinate cross-functional alignment with Sensor Intelligence, Product, and Software Engineering teams.

Requirements

• 8+ years of experience in machine learning or applied data science with a track record of shipping ML models for consumer products.
• 4+ years of people leadership experience directly managing ML scientists and engineers.
• Experience scaling a production ML organization, including improving development velocity and reliability.
• Strong ability to translate complex ML concepts for diverse audiences, including executive stakeholders.
• Deep product sense to ensure algorithms drive meaningful user outcomes.
• Must be prepared to relocate to the Boston, MA office.

Nice to have

• Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature).
• Familiarity with time-series modeling and the challenges of continuous physiological monitoring.
• Experience managing development cycles coupled with hardware generations and sensor availability.

Culture & Benefits

• Total compensation including base salary and a generous equity package.
• Inclusive environment that values character and diversity alongside professional experience.
• Equity-based ownership aligning employees with the long-term success of the company.
• Equal Opportunity Employer with E-verify participation.