Whoop is actively hiring for 18 roles related to artificial intelligence. The majority of these positions are focused on application development, accounting for 33% of the listings, followed by serving infrastructure at 22% and agents at 17%. Engineering is the most frequent function for these hires. Recent activity shows a 33% increase in new AI roles over the last 30 days, with 4 new positions posted compared to the previous 30-day period.
Currently tracking 14 active AI roles, up 38% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $125k–$300k (avg $197k).
Whoop currently has 20 active AI-related roles in our index. The most common open titles are: Associate Director, Core Algorithms (Sensor Intelligence Group), Associate Director, Machine Learning (Core Algorithms), Principal AI/ML Researcher, Senior AI Researcher (Foundation AI), Senior AI/ML Engineer (AI Platform). Most positions are in Engineering and Research.
Whoop's active AI hiring is concentrated in: application (30%), serving infrastructure (25%), agents (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Whoop is hiring AI talent in: United States (20 roles).
Job postings at Whoop most frequently mention: Machine Learning, Cloud Infrastructure, Software Engineering, System Design, Python.
In the past 30 days, Whoop has posted 6 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, Insights Senior Machine Learning Engineer at WHOOP, a health and fitness wearable company. The role focuses on developing and deploying ML systems for personalized health metrics using physiological and behavioral data. Emphasizes robust system design, performance, and reliability in production, operating at the intersection of data science, backend engineering, and health research. | Post-trainServe | 7 |
| Senior Machine Learning Scientist (Sensor Intelligence) Senior Machine Learning Scientist to join the Sensor Intelligence Group, focusing on developing and scaling ML systems for health features, enabling AI coaching in constrained edge and cloud environments for millions of members. | Post-train |
| 7 |
| Senior Machine Learning Research Engineer (Sensor Intelligence Group) Senior ML Research Engineer focused on extracting insights from noisy sensor data for wearable health features, involving algorithm deployment in constrained environments and regulatory awareness. | Post-trainServe | 7 |