Senior AI Researcher (Foundation AI)

TL;DR

Senior AI Researcher (Foundation AI): Building and optimizing large-scale multimodal foundation models that integrate wearable sensor data and biomarkers with an accent on self-supervised learning and representation learning. Focus on developing scalable distributed training pipelines and operationalizing models for production deployment to enhance personalized health experiences.

Location: Must be based in or be able to relocate to Boston, MA

Salary: $190,000–$230,000

Company

Advanced health and fitness wearable company on a mission to unlock human performance and extend healthspan.

What you will do

• Design, train, and optimize multimodal foundation models integrating sensor data, text, and biomarkers.
• Conduct applied research in self-supervised and representation learning for core model capabilities.
• Develop scalable, distributed training pipelines on high-performance compute environments.
• Collaborate with MLOps and engineering teams to operationalize models for production.
• Translate foundation model capabilities into member-facing product features.
• Contribute to the technical roadmap and architectural direction of foundation models.

Requirements

• Advanced degree (Master’s or Ph.D.) in CS, ML, Electrical Engineering, or equivalent experience.
• 7+ years of experience in applied ML or AI research with a track record of delivering production systems.
• Expertise in transformers, state space models, and multimodal model training.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Experience with multi-node, multi-GPU distributed compute and parallelism best practices.
• Applied experience with reinforcement learning for post-training (PPO, DPO, GRPO).

Culture & Benefits

• Competitive base salary and a generous equity package.
• Mission-driven environment focused on science and human performance.
• Inclusive culture that values character and diversity.
• Comprehensive corporate benefits package.