Deep Learning Engineer

A startup in the AI field has developed a product that represents the future of photo editing – an AI solution aimed at significantly reducing the time photographers or professional photography companies spend editing images.

The company's platform learns each photographer's personal editing style based on their previous projects, creating unique profiles tailored to each photographer's needs while maintaining consistency and quality across all projects. With over 30,000 paying customers worldwide, the company has doubled its customer base in the past year and is experiencing significant growth.

Located in central Israel and adopting a hybrid work model, the company has around 90 employees, with approximately 70 based in Israel. It's a stable and profitable company that has raised an A-round and has been funded with over $30 million so far. They offer options, transportation, a training fund, and provide an excellent opportunity to join.

About the role

• Engage in Research to Production activities within the team, specializing in computer vision and image processing.
• Primarily concentrate on AI methods, neural network architectures, CNN, DNN, and tasks including Regression, Segmentation, Classification, and Detection.
• Undertake deep learning tasks utilizing PyTorch, MxNet, TensorFlow, handling extensive datasets comprising tens of millions of images.

Requirements-

• B.Sc. in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).

• At least 3 years of industry experience in the development and productization of deep learning algorithms.

• 3 years of industry experience using Python and working on major computer vision problems.

• Experience using PyTorch, MxNet, TensorFlow, or similar tools

• Experience with large scale data

• Comfortable within an unexplored territory, independent and self-motivated