Ground-breaking Start-up is building the next way of seeing sports. We deliver unique and innovative solutions through unparalleled capabilities in machine understanding of sports.
We produce the most accurate tracking data with the fastest high-quality output by leveraging the most automated and extensible solution in the market.
We are the official tracking and analytics partner of the NBA, MLS and EPL. We also work with other top basketball and soccer (football) leagues and clubs around the world.
We generate meaningful and accurate data in the language of sport. Nearly every team in the NBA and ESPN uses our analytics and video platforms.
We create cutting edge software and communication tools so we can deliver personalized and interactive technologies for leagues, managers, players, media and fans that save people time and get them what they want in ways that previously did not exist.
We launched an innovative product, Clippers CourtVision, which won an NBA Innovation Award and Best in Technology at the 2019 Sports Business Awards, and has subsequently been used by ESPN, Turner Sports, FOX, NBATV, and NBA League Pass among others.
We are looking for a computer vision engineer to design, develop and implement computer vision and machine learning cutting-edge technologies to ensure our market leading position in sports player tracking and broadcast solutions
Manage interdisciplinary projects in collaboration with different groups within the company
Continuously learn new applications and apply learnings to new challenges
Design, prototype, implement and test software and computer vision & machine learning algorithms in Python, C++ and Rust.
Develop and optimize real-time and high-accuracy sports solutions with modern CV: object detection, recognition and tracking, camera calibration, 3D reconstruction, etc
Leverage Amazon Web Services (EC2 and S3) to run algorithms on a large number of servers in the cloud.
Implement and provide best-practices for maintainable software development, including deployment process, documentation, and adherence to and improvement of coding standards
Support and monitor live systems, including on-call rotation for computer vision systems during sports seasons
Our Software Stack:
Languages for scientific computing: Python 3, modern C++ and Rust
Frameworks: OpenCV, CUDA, FFmpeg, Tensorflow, NumPy, scikit-learn
Code base: Git with GitLab
Cloud services: AWS EC2 and S3
Productivity: Slack, Notion, Google Apps
2+ years of industrial experience in full development life cycle: design, prototype, implementation, testing and performance evaluation of software
2+ years of industrial experience in computer vision and modern machine learning algorithms, such as deep learning
Solid experience in software engineering: modern software development practices and tools, concurrent and distributed programming, operating systems, computer networks, database systems
Fully proficient in Python, modern C++ or Rust with exposure to functional & object-oriented programming paradigms
Experience with high performance computing, GPU computing, and real-time systems would set you apart
MSc in computer science or a related degree, with strong software engineering and modern computer vision components
Location: Los Angeles, CA (downtown)
OSI Engineering is a leading talent acquisition and services company, building powerful IT and Engineering development teams to meet speed-to-market demands across the US. We develop, implement and manage workforce solutions through every stage of the product lifecycle, from early application development through final production, delivering the highest-level technology professionals. Our capabilities include technical staff augmentation, managed service programs and resource planning solutions.
With over 20 years of experience, OSI’s technical expertise spans the software stack from the firmware layer up to the user interface. We deliver dynamic and diverse teams for IT Services, Networking Data Services, Cloud Infrastructure and Services, Big Data, Mobile Hardware and Applications, Internet of Things (IoT), Connected Car, Enterprise Information Security and Data Science. Our quality-focused approach to talent acquisition and services helps our clients successfully launch their concepts and products that change the world.