Senior Computer Vision Engineer – Human Pose & Biomechanics

Descrição da Vaga

Requisitos

• You will be a foundational technical architect of this product
• 5+ years in computer vision or applied ML
• Strong Python skills
• Experience with human pose estimation frameworks (MediaPipe, OpenPose, MoveNet, BlazePose, HRNet, etc.)
• Experience processing and analyzing video data
• Deep learning experience (PyTorch or TensorFlow)
• Experience designing production ML systems
• Joint angle computation
• Movement sequence modeling
• Athletic or sports background
• Experience building mobile ML systems
• Experience deploying ML to edge devices
• Experience with 3D pose estimation
• Startup experience
• Reliable joint angle calculations
• User uploads squat video
• Extract keypoints
• Knee angle
• Hip angle
• Back angle
• Score (1–10)
• 3 actionable improvement suggestions
• We are not looking for someone who has “experimented” with pose estimation
• We are looking for someone who can build a real product

Responsabilidades

• Video ingestion pipeline
• Pose estimation integration
• Joint angle calculation systems
• Movement scoring models
• Feedback generation engine
• Scalable architecture for mobile + backend integration
• Working squat grading prototype
• Clear pose-based feature extraction framework
• Movement scoring logic
• Architecture roadmap for volleyball drill analysis
• Take-Home Evaluation
• You will build a minimal squat grading app:
• GitHub repo

Benefícios