Senior AI/ML Researcher (Foundation AI)
Core
Design, train, and optimize large-scale multimodal foundation models integrating wearable sensor data, text, biomarkers, and behavioral data to understand human physiology and behavior.
Role type
Senior individual contributor AI/ML researcher (foundation models)
Builds
Scalable AI systems and multimodal foundation models for health and fitness wearables
Domain
Health technology / Wearables / Deep Learning
Deliverable
production ML models
Required skills
Advanced deep learning (transformers, state space models), multimodal model training, self-supervised learning, representation learning, distributed training pipelines, reinforcement learning (PPO, DPO, GRPO), MLOps, Python, PyTorch/TensorFlow
Preferred skills
Experience with multi-node/multi-GPU environments, data/model/context parallelisms, post-training for downstream applications
Technologies
PyTorch, TensorFlow, distributed compute environments
Responsibilities
Design and optimize large-scale multimodal foundation models; conduct applied research in self-supervised and representation learning; develop scalable distributed training pipelines; collaborate on MLOps and production deployment; partner with product teams to translate model capabilities into features; contribute to technical roadmap and architectural direction; ensure ethical and privacy-preserving AI standards
Seniority
Senior, hands-on IC
