Intel Sports Group is looking for Deep Learning & Computer vision Student
What are we doing?
Intel Sports is developing the future of sports broadcasting using TrueView’s volumetric video technology. TrueView technology features an immersive experience - an entirely new concept that allows users to interact with live videos in 3D.
What are we looking for?
Our computer vision team is looking for exceptional graduate students to join our R&D efforts and take part in creating the future of immersive media technology. If you are passionate about solving real-world computer vision problems, and a great team player with strong coding skills – you belong with us!
What will you do with us?
You will be developing and implementing state-of-the-art deep learning algorithms for core computer vision tasks (object detection, segmentation, tracking, etc.) and will take part in their deployment.
Qualifications
What must you have?
- An M.Sc/PhD candidate in Computer Science / Electrical Engineering / equivalent field.
- Proficiency in Python.
- Familiar with Python tools for deep learning (e.g. Tensorflow, PyTorch etc.)
- Strong self-learning and independent work abilities.
What will be considered as advantage?
- Programming experience in C/C++.
- Experience with machine/deep-learning algorithms for computer vision projects (code available on GIT – a big advantage).
Intel Capital invests in innovative startups targeting artificial intelligence, autonomous technology, data center and cloud, 5G, next-generation compute, and a wide range of other disruptive technologies. Since 1991, Intel Capital has invested US$12.6 billion in more than 1,560 companies worldwide, and 677 portfolio companies have gone public or participated in a merger or acquisition. Intel Capital curates thousands of business development introductions each year between its portfolio companies and the Global 2000. For more information on what makes Intel Capital one of the world’s most powerful venture capital firms, visit www.intelcapital.com or follow @Intelcapital.
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