Staff Machine Learning Engineer (Foundation AI)

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.
• Serve as a technical mentor for other data scientists sharing best practices in deep learning large-scale training and multimodal data integration.
• Ensure models adhere to WHOOP’s standards for ethical transparent and privacy-preserving AI.

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) and 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 distributed compute environments.
• Strong applied experience with representation learning self-supervised methods and fine-tuning for downstream applications.
• 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.

What We Do

At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values.


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