---
title: 'Senior Applied ML Algorithm Engineer at Whoop'
canonical: 'https://feeny.ai/job/senior-applied-ml-algorithm-engineer-whoop-boston-x20rrgejn6sa'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Applied ML Algorithm Engineer at Whoop

- **Company:** [Whoop](https://feeny.ai/companies/whoop)
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/whoop/93218baa-4989-4141-b500-32f937e72131

## Job description

At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware.

## RESPONSIBILITIES:

- Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data.
- Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions.
- Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency.
- Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance.
- Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency.
- Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement.

## QUALIFICATIONS:

- 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience.
- Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus.
- Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware.
- Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency.
- Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

## About Whoop

## Company Overview
- **One-liner**: WHOOP is a human performance optimization platform that uses a wearable device and 24/7 monitoring to help members improve sleep, strain, recovery, and overall health.
- **Entity Type**: Private (funding stage not publicly available in provided sources)
- **Headquarters**: Boston, Massachusetts, USA
- **Founded**: 2012
- **Founders**: Will Ahmed

## Core Business
- **Primary industry**: Wearable health technology, human performance optimization
- **Target customers**: B2C (consumers, athletes) and B2B (professional sports teams, organizations)
- **Mission**: “To unlock human performance and Healthspan.” [whoop.com - About](https://www.whoop.com/us/en/about/)

## Products & Services
- **WHOOP 5.0 + Subscription**: A non-screen wrist-worn wearable with 14+ day battery life that continuously monitors sleep, strain, recovery, heart rate, heart rate variability, and 65+ biomarkers. The platform provides personalized coaching, blood pressure insights, women’s hormonal insights, VO₂ max, heart rate zones, and mental health tracking. Type: Hardware + SaaS subscription. [whoop.com - Homepage](https://www.whoop.com/us/en/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available from provided sources
- **Key Metric**: Not publicly available (annual revenue not disclosed); estimated headcount of 500 employees [Built In Boston](https://www.builtinboston.com/company/whoop)
- **Notable Investors/Partners**: Not disclosed in provided sources
- **Growth Signals**: 500 total employees; hybrid workspace (4 days on-site per week); actively hiring across Engineering, AI/ML, Data & Analytics, Product, and Design; only 0.13% of applicants are hired, indicating high selectivity and strong talent demand. [whoop.com - Careers](https://www.whoop.com/us/en/careers/) | [Built In Boston](https://www.builtinboston.com/company/whoop)

## Competitive Advantages
- Proprietary 24/7 physiological monitoring with advanced sensor technology and an ultra-long battery life (14+ days)
- Deep scientific foundation – founded after reviewing over 500 medical papers
- Personalized coaching and insight delivery based on individual biometric data
- Strong brand recognition among elite athletes and mainstream consumers
- Privacy-first design with encrypted data storage [whoop.com - Homepage](https://www.whoop.com/us/en/)

## Strategic Focus
- Expanding health insights: introducing blood pressure monitoring, women’s hormonal health features, and heart health tracking
- Enhancing AI/ML capabilities (evident from many open AI/ML roles) [jobs.lever.co](https://jobs.lever.co/whoop)
- Deepening enterprise/B2B partnerships with sports organizations and research institutions
- Continuing to build out Healthspan and longevity features

## Why Work Here
- **Hybrid workspace** – employees are on-site 4 days a week in Boston’s “best office” [whoop.com - Careers](https://www.whoop.com/us/en/careers/)
- **Benefits** – flexible time off, above-market compensation, paid parental leave, health support [whoop.com - Careers](https://www.whoop.com/us/en/careers/)
- **Employee Resource Groups** – ADAPT (disability inclusion), BLACK@WHOOP, LGBTQ+ (WHOOP GOOP), Veterans and Military Personnel, Women of WHOOP, Women in Science and Engineering, WHOOP Parents [whoop.com - Careers](https://www.whoop.com/us/en/careers/)
- **High selectivity** – only 0.13% of applicants are hired, reflecting a rigorous, standards-driven culture [whoop.com - Careers](https://www.whoop.com/us/en/careers/)
- **Equal Opportunity Employer** – committed to diversity and inclusion in all employment decisions [whoop.com - Careers](https://www.whoop.com/us/en/careers/)

## Sources
1. [whoop.com - Careers](https://www.whoop.com/us/en/careers/)
2. [whoop.com - About](https://www.whoop.com/us/en/about/)
3. [whoop.com - Homepage](https://www.whoop.com/us/en/)
4. [Built In Boston - WHOOP Office Profile](https://www.builtinboston.com/company/whoop)
5. [jobs.lever.co - WHOOP Job Listings](https://jobs.lever.co/whoop)

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