Degree in Computer Engineering
Algorithms, CNNs, Data Classification, Deep Learning, NumPy, Object detection, OpenCV, Python Programming, PyTorch, TensorFlow
As a Deep Learning Engineer at Tennibot, you will be working on exciting and challenging problems regularly! We are a venture-backed robotics startup that builds practical and useful robots that help players and coaches. This position is ideal for anybody interested in learning about startups and entrepreneurship firsthand. You will be working closely with the CEO and the rest of the Tennibot team. You will be responsible for activities that include (but are not limited to) developing and evaluating deep-learning algorithms that will be used in different Tennibot products. The ideal candidate is comfortable working in a dynamic, fast-paced environment and has grounded experience in product development.
In order to be successful in this role, you must be hands-on, internally driven, and able to work both independently and collaboratively in a fast-paced startup environment.
PERKS AND BENEFITS
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Tennibot is an autonomous robot designed to pick up tennis balls from a court. It was created by Haitham Eletrabi, a mechanical engineer and tennis player, who wanted to find a more efficient way to pick up tennis balls after a game. Tennibot uses computer vision and machine learning algorithms to identify and locate tennis balls on the court.