Computer Vision & Pose Estimation Engineer

About the role

ReActive Health is a Qatar-based healthtech startup building a digital platform for workplace musculoskeletal health, with a web MVP covering employee assessments, personalised programmes, clinician approval, exercise tracking and AI coaching. It is looking for a Computer Vision Engineer to build and evaluate video-based movement analysis alongside the Founder and Clinical Lead. This is a new capability under development, and clinical validation is required before injury-risk claims can be made.

Key responsibilities

• Build pose-estimation and movement-analysis pipelines for smartphone video.
• Extract joint angles, movement patterns and exercise-performance measures.
• Evaluate accuracy across camera positions, lighting, clothing and body types.
• Handle occlusion, low-quality recordings and uncertain predictions.
• Work with clinical experts to define annotations, reference measurements and validation criteria.
• Integrate tested models into backend and mobile workflows.
• Implement privacy-conscious video processing and clear confidence thresholds.

Required profile

• Hands-on experience with computer vision, human pose estimation or motion analysis.
• Experience preparing datasets, evaluating models and deploying inference pipelines.
• Ability to explain model limitations and distinguish movement measurement from clinical risk prediction.
• Biomechanics, rehabilitation or mobile-inference experience is advantageous.

Required skills

• Strong Python skills and experience with PyTorch or TensorFlow.
• Familiarity with OpenCV and pose-estimation tools such as MediaPipe, MoveNet or comparable frameworks.

What we offer

• The role is equity-based until funding is secured, with no salary before funding; equity, vesting, milestones and time commitment are agreed in writing.
• Future paid compensation is subject to funding and a separate agreement.
• Location and working arrangements are discussed during interviews.

To apply, send your CV and links to relevant projects, repositories or demonstrations by email, including your personal contribution to each project, your availability and confirmation that you understand the equity-based arrangement.