Algorithm Engineer

We are here to improve lives by restoring sight worldwide by a robotic platform for vision saving surgery. Our company will improve the way ophthalmic surgery is delivered to vision impaired individuals now and for decades to come.

We are rapidly growing, funded by leading international VCs, and are looking to expand our small, motivated, multi-disciplinary and phenomenal team. Joining us is an opportunity to work towards saving vision across the globe, collaborating with others to realize a dream, and tackle an enormous challenge that will help drive your career forward.

We are seeking a highly skilled Algorithm Engineer with a strong focus on deep learning and problem-solving. The ideal candidate will have proven experience in end-to-end development — from research and prototyping to production deployment — and a passion for applying advanced algorithms to transform the field of medical robotics.

Responsibilities:

• Design, develop, and deploy cutting-edge algorithms to enhance the accuracy, robustness, and efficiency of robotic surgical systems.
• Apply deep learning, computer vision, and advanced data analysis techniques to solve challenging perception and decision-making problems.
• Lead end-to-end development cycles: problem definition, algorithm design, implementation, optimization, and integration into real-time systems.
• Collaborate with multidisciplinary teams, including software, hardware, and clinical experts, to ensure algorithms meet system and clinical requirements.
• Validate and refine algorithms through simulation, lab testing, and clinical feedback.

Requirements:

• Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in algorithm development, with a strong track record in deep learning and computer vision.
• Experience in robotics, control systems, autonomous navigation or medical devices – an advantage.
• Hands-on experience in the full development lifecycle — from concept to deployment — of machine learning or computer vision systems.
• Solid mathematical foundation and excellent analytical problem-solving skills.
• Proficiency in Python and/or C++ and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with classical computer vision and image processing techniques – an advantage.
• Experience with validation of algorithm solutions for medical devices - an advantage.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.