We are seeking a Senior AI Researcher to join our Foundation AI team, focusing on building multimodal foundation models that integrate various data types to enhance WHOOP's intelligent experiences.
We are seeking a Senior AI Researcher to join our Foundation AI team, focusing on building multimodal foundation models that integrate various data types to enhance WHOOP's intelligent experiences.
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4% of jobs
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$76.6K
$137.5K
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Job description
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. We are seeking a Senior AI Researcher to join our Foundation AI team, focusing on building multimodal foundation models that integrate various data types to enhance WHOOP’s intelligent experiences. The role involves driving research, development, and deployment of large-scale models while collaborating with cross-functional teams.
Responsibilities:
• Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
• Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
• Develop scalable, distributed training pipelines for large models on high-performance compute environments.
• Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
• Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
• Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
• Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI.
Qualifications:
Required:
• Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
• 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
• Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with training models on multi-node, multi-gpu distributed compute environments.
• Familiarity with best practices for data, model, and context parallelisms.
• Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
• Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
• Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
• Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
• Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
• This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Whoop
Sourced by ZipRecruiter
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.
Industry
Fitness and sports centers
Company size
501 - 1,000 Employees
Headquarters location
Boston, MA, US
Year founded
2012