Founding Machine Learning Engineer

What you’ll do:

• Create digital twins of golfers with 3D pose estimation

• Create computer vision powered controls for the future of mobile mixed reality gaming.

• Work with in‑house biomechanical physicists and golf experts to create features out of 3D pose data.

• Work hand in hand with owned data collection lab to build training datasets.

• Work closely with the founding team to solve the biggest technological issues facing the growth of golf.

• Experience in computer vision & ML engineering, with experience in large, complex models (not just edge‑device or lightweight ML).

• Experience building and scaling large ML models
  for complex, high‑dimensional problems.

• Track record of solving high‑complexity “hard problem sets” quickly in product‑scale environments.

• Demonstrated experience leading R&D‑heavy projects
  that integrate ML models into real‑world applications (preferably involving human motion analysis or sports).

• Track record of patents and/or published research
  in ML, computer vision, or biomechanics.

• Degree in Computer Science, Machine Learning, or a related field.

• Fullstack engineering skills.

• Experience training, optimizing, and deploying ML models on AWS/cloud
  .

• Strong experience handling real‑world, noisy, large‑scale datasets
  and feature extraction.

• Clear communication – able to explain complex concepts to technical & non‑technical stakeholders.

• Experience building 0‑1.

• Experience working with monocular camera constraints and/or 3D pose estimation.