Computer Vision Engineer

Lausanne, Switzerland /
Computer Vision /
Open end contract
Second Spectrum is a sports tech company and for our Computer Vision Team, based in Lausanne (Switzerland), we are looking for a computer vision engineer.

Your Mission:
Develop computer vision & machine learning cutting-edge technologies to ensure our market leading position in sports player tracking and broadcast solutions.

Your Role:
•      Design, prototype, implement and test software and computer vision/machine learning algorithms in Python and C++.
•      Develop and optimise real-time and high-accuracy sports solutions with modern CV: object detection, recognition and tracking, camera calibration, 3D reconstruction, etc.
•      Manage interdisciplinary projects combining different teams within the company.
•      Mentor interns and junior engineers.
•      Implement and provide best-practices for maintainable software development, including deployment process, documentation, and adherence to and improvement of coding standards.
•      Leverage Amazon Web Services (EC2 and S3) to run algorithms on a large number of servers in the cloud.

Your Profile:
•      MSc or PhD in computer science or a related degree, with strong software engineering and modern computer vision components.
•      3+ years of industrial experience in full development life cycle: design, prototype, implementation, testing and performance evaluation of software.
•      3+ 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 and/or modern C++ with exposure to functional & object-oriented programming paradigms.
•      Experienced with high performance / GPU computing and / or real-time systems.

Our Software Stack:
•      Languages for scientific computing: Python & C++
•      Frameworks: OpenCV, CUDA, FFmpeg, Tensorflow, NumPy, scikit-learn, Caffe
•      Code base: Git with GitLab
•      Cloud services: AWS EC2 and S3
•      Productivity: Slack, Notion, Google Apps

Our Work Environment and What You Will Benefit From:
•     Collaborative management by highly-qualified technical leads.
•     Multicultural team with employees based across several countries.
•     Flexible working hours, competitive salary, incentive stock options and improved Swiss social benefits.
•     Team-oriented engineering habits and software engineering best practices (readable, maintainable and efficient code).
•     Start-up mindset, innovative and dynamic environment. We encourage self-development and opportunities to make an impact.
•     State-of-the-art technology: attend international CV conferences (e.g. ICCV or CVPR); discuss papers on a regular basis.
About Second Spectrum:
Second Spectrum 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.