Senior Computer Vision Engineer

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need - and ultimately get back to lives lived in full.

Since 2020, Sword has expanded across Musculoskeletal, Women’s Health, Cardiometabolic, and Mental Health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 1 million members across three continents have completed over 15 million AI sessions, helping 2,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 59 clinical studies, 43 patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.

Thrive is Sword's program for chronic joint and back pain: personalized, clinician-designed physical therapy delivered at home, with an AI care specialist guiding members between visits. What makes it work is movement understanding. During each session, Thrive reads how a member moves from the camera and gives real-time feedback on their exercises, the way a physical therapist in the room would.

The Computer Vision team, part of the Algorithms org, builds the models behind that. We turn a camera feed into an accurate read of human movement, 2D and 3D pose and body dynamics, in real time, on-device or in-the-cloud, and turn that movement into clinical signals. This role owns that computer vision end to end: the models, the data lifecycle that feeds them, the evaluation, and the systems that ship them to members at scale.