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 |
|---|---|---|
| VP, Product (AI) VP, Product (AI) at Whoop responsible for setting and owning the AI product vision and roadmap, translating research into shippable products, and leading cross-functional teams to launch and measure AI-powered experiences. The role focuses on evolving the WHOOP experience into a daily AI companion, driving proactive guidance and individualized support. Requires demonstrated success in shipping AI-powered consumer products at scale, deep understanding of generative AI and ML, and experience leading teams in ambiguous environments. Emphasis on ethical, privacy-conscious AI in a regulated health environment. | Ship | 8 |
| Senior Machine Learning Engineer, Health Senior Machine Learning Engineer on the Health team at WHOOP, responsible for designing, building, and productionizing ML systems that deliver personalized health metrics. The role focuses on applying ML to physiological and behavioral data for health insights, requiring strong coding, system design, and deployment skills for scalable ML services. |
| Ship |
| 7 |
| Associate Director, Machine Learning (Core Algorithms) Associate Director, Machine Learning (Core Algorithms) at WHOOP, leading teams that build and ship cloud-based ML models for physiological data analysis (sleep, recovery, training insights) in a consumer product. Focus on scaling production algorithms, improving accuracy, and maturing ML development practices. | ShipPost-train | 7 |
| Staff Machine Learning Engineer (Health) Staff Machine Learning Engineer at WHOOP, a health and fitness wearable company. This role focuses on designing, building, and productionizing ML systems for personalized health insights, operating at the intersection of SaMD, ML, backend engineering, and cloud infrastructure. Requires strong coding, system design, and experience with regulated software environments. | Ship | 7 |
| Senior Technical Program Manager, Health ML Senior Technical Program Manager for Health ML at WHOOP, focusing on managing the end-to-end lifecycle of health algorithms from research to production deployment. The role requires a deep understanding of the ML development lifecycle, experience with regulated product development (SaMD, FDA), and the ability to leverage AI-powered tools to improve program execution. The TPM will coordinate cross-functional teams including ML engineers, applied scientists, product managers, regulatory, quality, clinical scientists, software, and firmware engineers. | ShipPost-train | 7 |
| Senior Technical Program Manager, Core Algorithms Senior Technical Program Manager for WHOOP's Core Algorithms team, focusing on bringing ML models from research to production for consumer-facing features. Requires deep understanding of the ML lifecycle and experience coordinating cross-functional teams. Will leverage and build AI-powered tools to improve program execution. | Ship | 5 |
| Senior Product Designer, AI & Emerging Technology Focus Senior Product Designer to lead end-to-end design of AI-first product experiences, translating complex data and intelligent systems into intuitive, trustworthy, and actionable interfaces for human performance and health. | Ship | 5 |
| iOS Engineer iOS Software Engineer to build and maintain member-facing features using generative AI capabilities, focusing on personalized health insights and outcomes. | Ship | 5 |
| iOS Engineer II (AI Experiences) iOS Engineer II on AI Experiences to build and maintain features connecting users to data science algorithms and WHOOP Coach generative AI, driving health outcomes through visualizations. | Ship | 5 |