Computer Vision Engineer

US-IL-Chicago

Share This Job

About STATS

REVOLUTIONIZE SPORTS THROUGH AI

Stats Perform brings unmatched depth and breadth of data, sports research, news and video content, and unrivaled AI-powered solutions to sports media and broadcasters, technology companies, global brands, sportsbooks, teams and leagues, and fantasy providers.

Job Description

At Stats Perform we have a world-class artificial intelligence team which has the aim to maximize the value of the enormous amount of sports data that we have at our disposal. As a Computer Vision Video  Engineer, you will work with our AI team researchers on a wide-range of interesting projects at STATS.

What You’ll Do:

  • Develop new ideas into AI driven products using our wealth of sports data
  • Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results
  • Deal with enormous amounts of video data, and developing solutions in a distributed setting

Skills & Requirements

What You Need:

  • Bachelor’s, MS or PhD in computer science or related quantitative field
  • Experience with AWS/Cloud Big Data computing design, provisioning, and tuning
  • Significant experience with and knowledge of Big Data technologies (e.g., Spark, Hadoop, NoSQL engines, different data file formats)
  • Knowledge of scripting and programming languages such as Python, Java and/or C/C++
  • Substantial knowledge / experience in one or more of the advanced areas: local, parallel and distributed file systems, SQL/NoSQL database systems
  • Good verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management
  • Practical experience with GPU-based acceleration using OpenGL or CUDA/CuDNN or TensorRT
  • Knowledge of H264 & MPEG4 video standards, and experience with hardware compression engines
  • Preferred) Experience with Docker or a similar container framework and container orchestration tools such as Kubernetes
  • (Preferred) Direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch

 

Stats Perform Core Values

One Team

We foster a culture of respect and collaboration to selflessly support and engage our teammates

Committed Players

We are proud and passionate about the work we do and our role in sport

Dedicated to Client Success

We keep our client’s goals at the center of everything we build and do; when our clients win, we win

Always Innovate

We aspire to innovate in all of our work to disrupt and shape the future of our industry

Be The Best

We have a relentless pursuit of getting the job done right and celebrating the results