Machine Learning Engineer

We are looking for a talented and driven Computer Vision / Machine Learning Engineer to join our team in building cutting-edge sports motion analysis technology. You will work on transforming raw multi-angle video data into accurate, high-fidelity 3D motion reconstructions, enabling next-generation interactive sports experiences.What You’ll Do: Develop and optimize a computer vision pipeline that extracts 2D keypoints from side and front camera footage, lifts them into 3D space, and converts them into realistic motion outputs.Collaborate with product, hardware, and simulation teams to ensure seamless integration between camera capture, motion reconstruction, and real-time sports simulations.Research and implement state-of-the-art algorithms for pose estimation, keypoint tracking, and 3D reconstruction.Work with large-scale video datasets to train, validate, and fine-tune models for accuracy, speed, and robustness.Optimize the pipeline for both offline and near real-time processing, ensuring smooth performance across varied hardware configurations.Contribute to innovative features that enhance realism, including environmental effects, biomechanics accuracy, and swing dynamics.