Whoop
Consumer · Fitness wearable
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).
Consumer · Fitness wearable
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 |
| Senior AI/ML Engineer (AI Platform) Senior AI/ML Engineer to scale the intelligence layer behind WHOOP's AI-powered experiences, focusing on the AI Platform. This role involves owning core components like evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling, partnering with product and data science to translate member needs into reliable AI systems. | AgentPost-train | 8 |
| Software Engineer II, ML Ops Software Engineer II, ML Ops role at WHOOP focused on building and optimizing ML cloud infrastructure to support Data Science and AI teams in productionalizing machine learning models. Responsibilities include designing and maintaining cloud infrastructure, implementing CI/CD pipelines for ML models, developing integration components, and leveraging AWS services for scalable and cost-effective ML/AI workloads. | Serve | 7 |
| 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 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 Software Engineer, Machine Learning (Health) Staff Software Engineer on the Clinical Health team responsible for designing, building, and operating production systems that deliver personalized health insights using machine learning. The role involves working at the intersection of ML, backend engineering, cloud infrastructure, and SaMD, translating algorithms into production-grade systems and providing technical leadership for ML infrastructure, inference services, data pipelines, and platform architecture within a quality-managed environment. | ServePost-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 |
| Technical Lead, ML Operations WHOOP is seeking a senior engineer to lead the MLOps team, owning the strategy, roadmap, and execution for a critical component of their ML platform. This hybrid role involves setting technical direction, leading a small team, driving architectural decisions, and partnering with Data Science, AI, and Engineering teams to scale ML capabilities and optimize ML infrastructure. | Serve | 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-trainServe | 7 |
| Associate Director, Core Algorithms (Sensor Intelligence Group) Associate Director of Engineering, Core Algorithms to define and lead WHOOP’s strategy for transforming physiological sensor data into real-time, production-grade intelligence. This role owns the technical vision and execution for core algorithm systems that power member-facing experiences across generations of WHOOP devices. Operates at the intersection of machine learning, signal processing, and embedded systems, defining multi-year technical direction, scaling high-performing teams, and shaping how WHOOP delivers differentiated edge intelligence at scale. Leads teams driving innovation in on-device intelligence, translating complex physiological data into scalable, high-quality insights while navigating tradeoffs across accuracy, latency, and efficiency. | ServeData | 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 |
| Senior Machine Learning Engineer (Data Science Algorithms) Senior Machine Learning Engineer at WHOOP, a health and fitness wearable company. The role focuses on designing, building, and productionizing ML systems for health and performance insights, working with physiological and behavioral data. Emphasizes strong coding, system design, and delivering production-ready ML solutions on cloud platforms. | Serve | 7 |