Machine Learning Engineer

Top 3 reasons to join us

• Work on a Great Product
• Fun and Collaborative Work Environment
• Be Part of State-of-the-Art Projects

Job description

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.

Your skills and experience

• At least two years' experience as a machine learning engineer.
• Real experiences on computer vision, image/video processing.
• Good understanding of mathematical foundations of Machine Learning algorithms.
• Advanced proficiency with Python.
• Experience with popular frameworks such as TensorFlow, Pytorch.
• Have experiences on sport motion is a plus.
• Bachelor’s degree or higher of Computer Science.

Why you'll love working here

If you find out any word below that match your expected environment, it make you feel working place like your home, your comfortable place, please join us.

Fun
Challenging
Friendly
Supportive
Collaborative
Innovative

Benefits:

• Friendly and supportive working environment
• Annual company trip
• Free English class to support for English study
• Company health insurance.
• General company activities (birthday party, football...).
• Full of snacks, fruits, ... in the kitchen to help yourself during work time.
• Career growth opportunities.
• Very competitive salary
• 13th-month salary.
• Salary is reviewed twice per year based on performance