Senior AI/ML Researcher (Foundation AI)

The role

This person will drive the research, development, and deployment of large-scale multimodal models. They will work on models that integrate wearable sensor data, language, biomarkers, clinical information, and self-reported inputs.

What you will do

• Design, train, and optimize large-scale multimodal foundation models.
• Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning.
• 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.
• Partner with product and research teams to translate foundation model capabilities into downstream features.
• Contribute to the technical roadmap and architectural direction for foundation model development.
• Ensure models adhere to standards for ethical, transparent, and privacy-preserving AI.

Required qualifications

• 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 mulit-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.

Benefits

• Competitive base salaries
• Meaningful equity
• Generous equity package

Before you apply

• Must be prepared to relocate if necessary to work out of the Boston, MA office.
• Participates in E-verify to determine employment eligibility.

About the company

WHOOP is on a mission to unlock and inspire performance for life by providing members with a deep understanding of their bodies, behaviors, and daily lives.