Software Engineering Intern (all teams in LA)
Los Angeles, CA
**PLEASE NOTE THAT ALL OF OUR SUMMER INTERNSHIP SLOTS HAVE BEEN FILLED. IF YOU SUBMIT AN APPLICATION, WE WILL CONTACT YOU IF SOMETHING OPENS UP AND THERE IS A GOOD FIT WITH YOUR BACKGROUND/EXPERIENCE.**
Second Spectrum is the world leader in building machines that understand sports and the experts at creating value from tracking data. We create tools that help teams win, making data and video easily accessible and actionable. For media companies, we create automatically augmented video and interactive, personalized, OTT experiences. We are at the forefront of computer vision, machine learning, big data, augmented reality, and product design. Second Spectrum is the Official Optical Tracking Provider of the NBA. In addition, we are working with several football (soccer) clubs and leagues in Europe and in the US, and provide software for coaches and players to help improve their game.
Second Spectrum is headquartered in Los Angeles (USA) with one R&D office in Lausanne (Switzerland) and another one in Shanghai (China). Its computer vision team has engineers in Los Angeles and in Lausanne. The purpose of the R&D team is to provide cutting-edge technologies to ensure our market leading position. They are in charge of all aspects of the computer vision and deep learning technologies for player tracking and broadcast solutions. To grow our team and join our Los Angeles office, we are looking for a computer vision engineer.
The primary goals of internships at Second Spectrum are learning, professional growth and development. Students are provided with the opportunity to work on real projects that professional sports teams, broadcasters, and consumers use. We try to match each intern with the best team based on personal and professional interest. Our teams include Full-stack engineering, UI, Computer Vision, AI/Machine Learning, and Infrastructure (DevOps, SysOps, IT, Systems).
- Currently pursuing a Bachelors, Masters, or PhD in Computer Science or related degree
- Demonstrate strong academic performance
- Strong problem solving and analytical capabilities
- Verbal and written communication skills
- Strong willingness to learn from teammates
As a general approach, we interview for aptitude over specific technologies or languages. However, you will be expected to speak to anything listed on your resume.