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Home›Jobs›WHOOP›Staff Machine Learning Engineer (Foundation AI)
WHOOP

About WHOOP

Unlocking human performance through health tracking

🏢 Tech👥 1001+ employees📅 Founded 2012📍 West Fens, Boston, MA💰 $404.8m⭐ 3.3
B2CPersonal healthFitnessData AnalysiseCommerce

Key Highlights

  • Headquartered in West Fens, Boston, MA
  • Over 1,000 employees and $404.8 million in funding
  • Unique subscription model for ongoing health data access
  • Holistic health tracking including sleep and recovery metrics

WHOOP is a leading provider of wearable health and fitness devices, headquartered in West Fens, Boston, MA. With over 1,000 employees and $404.8 million in funding from investors like Accel and NextView Ventures, WHOOP focuses on optimizing human performance through continuous monitoring of recovery...

🎁 Benefits

WHOOP offers a flexible vacation policy, 18 weeks of paid parental leave, and a $500 annual wellness stipend. Employees also receive stock options, a ...

🌟 Culture

WHOOP fosters a culture centered around health optimization and data-driven insights. Their holistic approach to performance tracking, including metri...

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WHOOP

Staff Machine Learning Engineer (Foundation AI)

WHOOP • Boston, MA

Posted 2 months ago🏛️ On-SiteLeadData scientist📍 Boston
Apply Now →

Job Description

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.

In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.

Interested in this role?

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