DRH Search
We're assisting a profitable startup in Irvine, CA with their search for a Founding Machine Learning Engineer. They create affordable golf simulator options for people's homes and backyards. This role will work closely with the founder and co-workers in the Irvine office to develop and improve their models.
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 What you'll bring:
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 productscale 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 Nice to haves:
Experience working with monocular camera constraints and/or 3D pose estimation.
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 What you'll bring:
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 productscale 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 Nice to haves:
Experience working with monocular camera constraints and/or 3D pose estimation.