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Sword Health in Portugal is hiring a senior Computer Vision Engineer to own end-to-end models for real-time movement analysis, from 3D pose to clinical signals. You’ll ship in-cloud and on-device, manage data lifecycles, and drive reproducible, scalable ML systems at scale.
We value deep CV expertise, experience with multimodal AI, strong Python/PyTorch skills, and a collaborative, self-directed mindset. This role includes remote-friendly work and a comprehensive benefits package.
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.
AI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
€58,100 - €91,300 a year
*This range includes base, variable and equity
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.
Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.
Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.