Asensus Surgical is currently seeking a Senior Deep-Learning Engineer to join our top-notch Research & Development team in Israel.

This is an exciting time to join Asensus and to be part of a leading edge team that is pioneering a new era of Performance-Guided Surgery.

You will help lead the development of a next-generation vision-assisted surgical robotics platform. As a researcher on the team, you will get a chance to work alongside some of the best minds in the field and implement the latest Machine Learning and Computer Vision algorithms, in a multidisciplinary and dynamic environment.

We are looking for an individual who is a team player and a strong communicator. Someone who has great problem-solving skills, and who has a drive for creativity and innovation, as well as determination and persistence. Someone who has a deep understanding of algorithms and image processing and will take ownership of various Vision/deep learning/AI algorithms utilizing medical imaging data & sensory data through exploration, development, optimization, validation & integration.

• Work with a multi-disciplinary team of experts and engineers to deliver an end-to-end product: from the idea phase, through collecting and assessing the data, exploring algorithmic approaches, developing, testing, validating and integrating the algorithm in the production environment
• Research, design, develop and implement Computer Vision, Machine Learning and Deep Learning based vision algorithms.
• Contribute to the team's methodologies, best practices and toolset, as well as sharing and receiving constructive feedback
• Understand algorithmic requirements and convert these into usable solutions
• Utilize existing research, literature and study of existing state of the art tools to develop best in class solutions
• Develop mathematical and numerical tools to support development
• Manage large amounts of data and process into usable information
• Evaluate the performance on benchmarks and improve as necessary
• All other duties as directed.

• MSc in Computer Science or related fields (EE, Math, Physics, etc.); Ph.D - Advantage.
• 5+ years of hands-on experience with Computer Vision algorithms.
• Strong background in machine learning and deep learning.
• Proficiency in C++ and Python.
• Ability to initiate and lead machine learning projects end to end.
• Experience with TensorFlow or PyTorch
• Familiarity with IPP, OpenCV and similar libraries
• Deep domain experience and hands-on knowledge or academic research background in at least one of the following is an advantage:
  • VAN/SLAM
  • Motion estimation (i.e Optical flow, Tracking)
  • Segmentation
  • GNN
  • 3D reconstruction

• Experience with Linux.

• Good verbal and writing capabilities in Hebrew and English