Backed by SoftBank VF and IVP.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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)
- Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments
- Familiarity with best practices for data, model, and context parallelisms
More about this role
At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
We are seeking a Staff AI/ML Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. 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.
In this role, you’ll serve as a staff individual contributor driving the research, development, and deployment of large-scale multimodal models. 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.
Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Boston