Whoop
Staff AI Researcher (Foundation AI)
Boston, MA · Staff+
Sponsorship not specifiedDetected 12 days ago
PythonNode.jsCI/CDMachine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPMLOpsElectrical EngineeringResearchCommunication
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odds of building a lasting career here
33Risky
Cap-exempt (no lottery)0
Sponsors this role66
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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About the role
- Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
- In this role, you'll serve as a staff individual contributor driving the research, development, and deployment of large-scale multimodal models.
- This role is based in the WHOOP office located in Boston, MA.
Responsibilities
- Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
- 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.
- WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
- These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.
Requirements
- 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
- Familiarity with best practices for data, model, and context parallelisms.
- Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
- 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).
- Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments.
- 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.).
- 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.
- Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
Benefits
- Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP's core model capabilities.
- Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration.
- This team builds the multimodal foundation models that underpin WHOOP's next generation of intelligent, personalized, and health-enhancing experiences.
- You'll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.
Company info
- At WHOOP, we're on a mission to unlock and inspire performance for life.
- We are seeking a Staff AI/ML Researcher to join our Foundation AI team.
- At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.