We are looking for a talented Computer Vision Engineer to join our diverse, highly skilled and super enthusiastic Computer Vision Team.
This position offers tremendous opportunities to work with the state of the art technology that will change the way sport is consumed in the future.
Our systems are highly complex and contain petabytes of data and video requiring extremely talented engineers to maintain the scale and efficiency of its products.
You will work in a cross-functional team which is developing innovative computer vision systems. Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts.
Are you ready for this new challenge? As a member of Computer Vision Team at Sportradar, you will contribute to the ongoing development of Sportradar's revolutionary Computer Vision and AI solutions.
Some of the ongoing projects you will be involved are :
Design AI solutions for Computer Vision based Products in Sports for teams and leagues all over the world
Use your expertise in Computer Vision and Deep Learning to tackle exciting real-world Sports data collection and production problems
Research, design, implementation and optimization of state of the art CV / ML algorithms for our existing and upcoming products;
Implement computer vision techniques for object classification, labelling, and prediction;
Share knowledge within the team located across two or more locations;
You will be working with a growing team of talented data scientists already dedicated to this mission;
Support Sportradar's future computer vision and machine learning initiatives.
University education in Computer Vision, Computer Science or related field
At least 3 years of experience with machine learning; including hands on experience with deep learning and its applications to computer vision (e.
g., object detection, tracking, segmentation, image classification, 3D reconstruction, image and video processing, graphics rendering, etc.)
1+ year experience in developing or using deep learning frameworks (eg, Tensorflow, caffe, PyTorch, Keras)
Solid programming skills with Python
Comfortable with common data science toolkits (Python, R)
Must be comfortable with modern software development methodologies such as agile development, git, code review, etc.
Excellent communication skills in English and ability to effectively communicate complex technical concepts.
Autonomous and rigorous, and a team player, with a positive mindset
Be creative and innovation focused
BONUS SUPERPOWERS :
PhD or Masters in Computer Vision, Computer Science, or related field
Experience with setting up production deployment pipeline for CV / ML models;
Experience with C++, Spark and GPU programming
Experience in AWS environment
OUR OFFER :
Competitive salary based on your experience
High degree of autonomy
Working with international colleagues (main language is English)
Big challenges, massive impact
Sportradar handles and provides sports data worldwide (video, data) in real-time : many opportunities to push forward innovative projects