About Lynxight  

In Lynxight we literally save lives by equipping pool lifeguards with an AI-based companion that's  revolutionizing water safety.  

Our innovative technology enhances lifeguards response times and provides pool management  with crucial operational insights, setting new standards in the aquatic leisure industry. With a  growing global presence across renowned fitness, leisure, and hospitality sectors, and strategic  partnerships aimed at advancing water safety, Lynxight is at the forefront of technological  breakthroughs.  

We are looking for a computer vision algorithms engineer to join our dynamic team and be part of  making water leisure safer and more enjoyable for everyone. 

We are located in Yok’neam.  

Qualifications:

o  MSc in Computer Science or related field, with a focus on computer vision and deep learning — or BSc with significant industry experience.

o Proven hands-on experience solving computer vision problems using deep learning techniques.

o Proficiency in state-of-the-art vision algorithms.

o Deep knowledge of photogrammetry, camera calibration, and epipolar geometry.

o Strong Python skills and experience with PyTorch.

o Background in object detection and tracking.

o Experience leading ML projects from ideation to deployment.

o Familiarity with Docker, AWS, and scalable production environments (advantage).

Responsibilities:  

o Develop and deploy deep learning-based algorithms for human activity detection and recognition in aquatic environments.

o Collaborate with engineering, product, and business teams to solve real-world problems.

o Stay current with research trends and integrate them into production solutions.

Contact: [email protected]