Computer Vision Engineer

$205,920 - $205,920/Yr

Golf Daddy - Irvine, CA

posted 2 months ago

Full-time
Irvine, CA

About the position

As a Computer Vision Engineer at Daddy Sports, you will play a pivotal role in revolutionizing sports simulation technology. Our company is dedicated to making sports simulation accessible to everyone, and we are particularly focused on creating affordable solutions for sports enthusiasts. You will be responsible for building cutting-edge machine learning models that enhance sports simulation and improve user experience. This position requires a strong background in computer vision, as you will be developing compute-intensive models that leverage the latest advancements in the field. In addition to model development, you will collaborate with the team to devise innovative data collection strategies that are both practical and effective. Your work will directly contribute to solving real-world problems, making sports play and practice more accessible to a wider audience. You will be part of a dynamic and fast-paced environment, where your contributions will have a significant impact on the company's growth and the sports industry as a whole. At Daddy Sports, we pride ourselves on our vibrant company culture, which emphasizes teamwork and collaboration. You will be working in our Irvine, CA headquarters, where the team is present five days a week. The role may require occasional weekend work and long hours, but the excitement and energy of our rapidly growing startup make it a rewarding experience. Join us as we disrupt the sports simulation industry and create a future where sports can be practiced and enjoyed at home or in specialized training facilities.

Responsibilities

  • Build the latest and greatest machine learning for sports simulation & improvement
  • Build compute intensive computer vision models
  • Collaborate on real world scrappy and innovative data collection strategies
  • Solve real world problems with machine learning that democratize sports play & practice.

Requirements

  • 3+ years of computer vision experience
  • 2+ years of AWS experience
  • Experience with tabular ML
  • Ability to create and modify existing deep learning models
  • Experience dockerizing, deploying, and working with GPU intensive applications
  • Model conversion and mobile deployment experience
  • Experience working with state-of-the-art video and image models
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