AI/ML Engineer – Computer Vision & Wearables: We’re looking for an AI/ML Engineer with 2–5 years of experience to help build ML capabilities around human movement, wearables and personalized fitness. What you'll work on:
• Exercise/activity recognition, rep counting and movement understanding
• ML on wearable sensor data — accelerometer, gyroscope, IMU and physiological signals
• Video processing, frame extraction and pose estimation
• Combining video and sensor data to build multimodal ML models
• Taking problems from raw data → experimentation → model → evaluation → working product
• Building ML capabilities that can eventually power real-time, personalized coaching experiences What we're looking for:
• 2–5 years of hands-on applied ML experience
• Strong Python and ML/deep learning fundamentals
• PyTorch / TensorFlow / scikit-learn
• Experience working with video/computer vision, time-series or sensor data
• Strong understanding of model evaluation, experimentation and data quality
• Demonstrated ability to independently take an ambiguous ML problem, explore the data, test approaches and build something that works
• Comfortable working in an early-stage ML environment where the solution may not be known upfront Great to have:
• Human Activity Recognition (HAR), exercise recognition or biomechanics experience
• IMU / wearable / sensor-fusion experience
• OpenCV, Media Pipe, pose estimation or action recognition
• Multimodal ML — video + sensor data
• Signal processing / time-series modelling
• Mobile or edge ML deployment
• Sports, fitness, health-tech, robotics or movement-related experience
• We're looking for a strong applied ML builder rather than a specialist in any one technology. Prior wearable experience is a plus, but the ability to independently solve real-world ML problems and learn recent domains quickly is more important