AI/ML Research Internship

Tech Stack

Responsibilities

• Scope problems, build end-to-end prototypes, validate with data, and iterate toward shipping solutions for AI/ML problems in sleep fitness and personal health.
• Work closely with a cross-functional team and receive hands-on mentorship to sharpen technical skills.
• Present research results to leadership and potentially develop work into a publication.
• Help build multimodal activity understanding, next-gen time-series forecasting for sleep, and adaptive Pod thermoregulation.
• Contribute to lifestyle-to-sleep simulation ("Digital Twin") and privacy-preserving personalization models.

Benefits

• Equity
• Gym Membership
• Health Insurance
• Parental Leave

Culture

Requirements