Sensor Intelligence Engineer II (Embedded Machine Learning) at Whoop

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Health Technology, WearablesIndustries

Requirements

Bachelor’s or Master’s degree in applied mathematics, electrical/biomedical engineering, computer engineering, or a related field
2+ years of industry or research experience in signal processing and/or machine learning, preferably with deployment experience on embedded or wearable platforms
Understanding of biosensor systems and analysis of physiological signals in noisy, real-world conditions
Strong programming proficiency in C and/or Python
Experience developing and optimizing machine learning models for edge devices including model quantization, pruning, or lightweight inference
Working knowledge of adaptive signal processing, real-time systems, and time-series analysis
Deep understanding of ML libraries such as TensorFlow Lite, scikit-learn, PyTorch, or TinyML frameworks
Excellent communication skills, both written and oral, with a track record of conveying complex technical topics to diverse teams
Demonstrated creativity, adaptability, and a passion for building impactful products that scale to real-world, edge-deployable use cases

Responsibilities

Design, optimize and maintain machine learning algorithm on the edge device
Collaborate closely with Data Science, Firmware, and Research teams to enhance user metrics by developing innovative and efficient algorithms that are deployable on low-power embedded systems
Design, prototype, and implement machine learning solutions that run on edge devices with limited compute, memory, and power budgets
Participate in the full software development lifecycle, including development, debugging, hardware-in-the-loop testing, and deployment on edge platforms
Leverage expertise in signal processing, time-series analysis, and embedded ML to optimize biosensor systems and improve inference accuracy at the edge
Explore, model, and implement algorithms that balance performance and power efficiency while maintaining scalability and adaptability
Contribute to research efforts exploring new features, hardware-aware model optimization, and intelligent data processing pipelines for edge deployment

Skills

Embedded Machine Learning

Signal Processing

Time-Series Analysis

Edge Devices

Low-Power Optimization

Firmware

Data Science

Hardware-in-the-Loop Testing

Algorithm Deployment

Biosensor Systems

Whoop

Wearable fitness tracker with personalized insights

About Whoop

WHOOP offers a fitness membership that focuses on improving personal health and performance through a wearable device called the WHOOP Strap 3.0. This device continuously collects physiological data, including heart rate, sleep patterns, and recovery levels, to provide users with personalized recommendations on their daily activity, sleep needs, and readiness for performance. Unlike many competitors, WHOOP operates on a subscription model, where users pay a fee to access the membership, which includes the device and continuous insights through the WHOOP app. This model not only provides a steady revenue stream but also fosters a strong community among users, encouraging engagement through teams, challenges, and social features. The goal of WHOOP is to help users optimize their health and performance while minimizing injury risk.

Boston, MassachusettsHeadquarters

2012Year Founded

$393.7MTotal Funding

SERIES_FCompany Stage

Data & Analytics, HealthcareIndustries

501-1,000Employees

Benefits

Take Time Off: Time outside of the office is important for sleep, strain and recovery! Our PTO plan encourages members to take time off in order to come back refreshed.

Live a Healthy Lifestyle: Our competitive benefits package includes premium medical, dental, and vision coverage for employees and their dependents. Life and disability insurance are also available.

Feel Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP. Work means more when you have personal stake. You have ownership in what we are building.

Eat Well: Keep hunger at bay with endless snacks in our fully stocked kitchen. Enjoy catered team lunches on Friday, and even a cold brew keg.

Know The Product: We want you to understand and experience the product firsthand. We offer you a WHOOP strap and membership at no cost.

Be Active: Take advantage of our office gym and on-site showers! WHOOP also offers a $500 yearly wellness perk for fitness classes and memberships.

Be Present: It’s important to be present when bringing home a new family member. Take care of your loved ones with 12 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.

Love Where You Work: Sitting in the heart of Fenway, our beautiful office overlooks Fenway Park. A prime location for great food, not to mention catching a Sox game, too!

Work Hard, Play Harder: If we don't already have a club here that fits your lifestyle and interests, you're encouraged to start one. Share your passions with others at work, or discover new ones!

Risks

Increased competition from brands like Oura and Fitbit threatens market share.

Privacy concerns over data collection could lead to regulatory challenges.

Economic downturns may affect consumer willingness to pay subscription fees.

Differentiation

WHOOP offers 24/7 physiological data tracking with its WHOOP Strap 3.0.

The company provides personalized health insights for athletes and fitness enthusiasts.

WHOOP's subscription model includes a community aspect for user engagement.

Upsides

WHOOP's partnership with Cristiano Ronaldo boosts brand visibility and credibility.

Expansion into 56 markets enhances WHOOP's global presence and growth potential.

Collaborations with brands like Assos strengthen WHOOP's position in sports technology.

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