Description
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 looking for a highly talented Postgraduate Engineer - MSc/PhD (1-year term), to join our Autonomous Systems team and lead the development of a foundation model that will serve as the backbone of our autonomous robot.
Responsibilities:
Process large-scale, multi-modal data from diverse sources.
Design, develop, and build Foundation Models to support perception for autonomous agents.
Build data pipelines, training frameworks, and evaluation methodologies.
Requirements:
M.Sc./Ph.D. in Computer Science, Electrical Engineering, or a related field from a recognized academic institution; graduated with honors.
Strong background in Visual Transformers.
Up to 1 year of hands-on experience in Deep Learning, including academic or research projects.
Experience in model training, fine-tuning, and neural network architecture design.
Experience with Pytorch framework.
Experience working with large datasets and data preprocessing pipelines.
Strong communication and collaboration skills.
Nice to have: background in LLMs, VLMs, VLAs, or robotics.