Currently tracking 14 active AI roles, up 38% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $125k–$300k (avg $197k).
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.
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 |
|---|---|---|
| Principal AI/ML Researcher Seeking a Principal AI Researcher to join the Foundation AI team, focusing on building foundation models for health and fitness wearable data. The role involves integrating diverse data sources to create AI systems understanding human physiology and behavior, with a focus on technical leadership and shaping core AI efforts. | Pretrain | 9 |
| Senior AI Researcher (Foundation AI) Senior AI Researcher to join the Foundation AI team, focusing on building multimodal foundation models that integrate diverse data sources (wearable sensors, language, biomarkers, clinical, self-reported) to understand human physiology and behavior for next-generation health experiences. The role involves research, development, and deployment of these large-scale models. | PretrainPost-train |
| 9 |