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Staff Applied Machine Learning Scientist (Health)

whoopBoston, MAMachine Learning & AI Research
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Salary
$170K – $230K
Job type
Full-time
Experience
Senior · 7+ yrs
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced machine learning scientist with a strong background in health data and wearable technology who wants to lead technical initiatives in Boston, MA. The position involves shaping methodology and building algorithms for health sensing features at WHOOP.

Role Overview

WHOOP is hiring a Staff Applied Machine Learning Scientist for the Health team in Boston, MA. This full-time position focuses on transforming complex clinical and product questions into rigorous models and evaluation plans using longitudinal wearable data. The person in this role will establish methodological standards for the domain, collaborate with machine learning engineers for production deployments, and work alongside product and clinical partners to assess data capabilities.

Key Responsibilities

Lead the creation, testing, and validation of statistical and machine learning methods for health features using physiological and behavioral data.
Define ambiguous health objectives into structured modeling tasks with defined performance metrics and transparent uncertainty handling.
Establish methodological quality standards including reusable evaluation frameworks, documentation, and review expectations.
Build and refine techniques for longitudinal, time-series, and multimodal datasets, covering feature extraction, labeling, and robust offline evaluation.
Collaborate with machine learning engineers to transition validated algorithms into scalable, reliable production environments.
Act as a technical advisor to product and digital health teams by evaluating study designs and performance requirements.
Elevate team performance through mentorship, design reviews, and guiding technical direction.
Share project trade-offs, risks, and findings clearly across technical, clinical, and leadership stakeholders.

Requirements

Master's or PhD degree (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related field.
At least 7 years of professional experience building algorithms, applied machine learning models, or rigorous statistical analyses in health, wearables, medical devices, or digital health.
Demonstrated technical leadership at a Staff level, including setting methodological standards, guiding multi-team outcomes, and mentoring senior individual contributors.
Solid foundation in frequentist and Bayesian statistics as well as machine learning tailored for time-series and longitudinal datasets.
Practical background working with wearable or physiological signals such as PPG, IMU, heart rate, heart rate variability, sleep, activity, or temperature.
Experience designing end-to-end studies and evaluation protocols, including metric selection, validation splits, and subgroup analysis.
Proficiency in Python with strong scientific and machine learning software engineering practices using tools like NumPy, SciPy, pandas, scikit-learn, PyTorch, or TensorFlow.
Ability to relocate to the Boston, MA office if necessary.

Skills and Tools

Python
NumPy
SciPy
pandas
scikit-learn
PyTorch
TensorFlow
Time-series and longitudinal data analysis
Wearable and physiological signal processing (PPG, IMU, HR/HRV, sleep, activity, temperature)

Salary and Benefits

The salary range for this position is $170K to $230K, and the compensation package includes offers for equity.

About the Company

WHOOP builds wearable technology designed to collect physiological data and provide members with insights regarding their sleep, recovery, and training. The organization operates on an equal opportunity basis and utilizes E-verify.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PythonNumPySciPypandasscikit-learnPyTorchTensorFlowMachine Learning

Questions candidates ask

What is the location of the Staff Applied Machine Learning Scientist role?

The position is based in the WHOOP office in Boston, MA, and candidates must be prepared to relocate if necessary.

What is the salary and compensation for this position?

The salary ranges from $170K to $230K with equity offers included.

How many years of experience are required for this role?

Candidates must have 7+ years of professional experience developing algorithms, applied machine learning models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain.

What educational background is expected?

A Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field is required.

What programming language and tech stack are used?

The role requires strong Python skills along with familiarity with stacks such as NumPy, SciPy, pandas, scikit-learn, PyTorch, and TensorFlow.

Ready to apply?

The application is on the official whoop careers page.

Apply on company site