Algorithm Engineer

Who we are

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.

Who we are looking for

We are seeking a highly skilled Algorithm Engineer with experience in autonomous systems, strong expertise in deep learning, and hands-on work with real-world systems. The ideal candidate has proven end-to-end ownership — from research and prototyping through production deployment — and a passion for applying advanced algorithms to medical robotics.

Responsibilities

• Apply deep learning, computer vision, and Physical AI techniques to solve challenging perception based decision-making problems.
• Lead end-to-end development cycles: problem definition, algorithm design, implementation, optimization, and integration into real-time robotic 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.
• 3+ years of experience in algorithm development, with hands-on experience in autonomous systems and a strong track record in deep learning and computer vision.
• Hands-on experience in the full development lifecycle — from concept to deployment — of machine learning or computer vision systems.
• Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, etc.).
• Excellent analytical problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.