Deep Learning Researcher

VolleyStation is looking for an experienced Deep Learning Researcher to contribute to our developing sports analysis system, and to help transition it from a research state into a production-ready solution.

Your role

• Transform deep learning prototypes into robust, production-ready solutions

• Improve code speed and scalability to enhance end-user experience

• Develop algorithms for scenarios where an AI model is not required

• Train AI networks with new data

• Conduct intensive GPU and CPU optimization to reduce inference costs

• Assess network accuracy and robustness to monitor improvements and identify weaknesses

Do we have a match?

As a Deep Learning Researcher, you must meet the following criteria:

• MS level or above in Computer Science.

• Fluent English min. B2+ level (daily cooperation with our managers located in the USA)

• 4+ years of experience in computer vision project

• Advanced knowledge of Python

• Experience with profiling CPU and GPU code

• Familiarity with real-time libraries like TensorRT and DeepStream is a plus.

• Research experience with perception topics including object detection, multi-object tracking, pose estimation, action recognition, re-identification

Additionally, we would appreciate:

• Strong internal collaboration skills

• Ability to work with external collaborators (ex. our main consultant from NVIDIA)

Get to know us better

VolleyStation is a provider of software and hardware solutions for the volleyball market. We cover both in-depth statistical game analysis as well as game scoring and live data processing. We employ in-depth sports knowledge to create multiple user-facing systems like websites, mobile applications, video processing, visual reports, and many others.

By joining VolleyStation you will be a part of the international team, playing part in events like

• Olympic games

• Volleyball Nations League

• Beach Pro Tour

• World Championships

• NCAA (over 200 schools)

• Polish Volleyball Leagues (PlusLiga / TauronLiga)

Our latest project is employing computer vision to expand our offering to competitions where game count exceeds human processing capabilities. You will have an opportunity to play a vital role in the creation of this new system.