Junior Algorithm Engineer
Posted Jun 25 · 0 applicants
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The role in plain words
This role involves developing a foundation model to serve as the backbone for an autonomous ophthalmic surgical robot. The daily work includes processing large-scale multi-modal data, designing neural network architectures, and building training frameworks and data pipelines using PyTorch.
- 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
- Background in LLMs, VLMs, VLAs, or robotics
Extracted from the job description · kept up to date automatically
Who this suits
This role suits a postgraduate with an MSc or PhD in a relevant field who has strong knowledge of Visual Transformers and up to one year of deep learning experience. It is less ideal for those without a strong academic background in computer science or electrical engineering, or those seeking a permanent, long-term position, as this is a one-year term.
Full job description
Original listing · kept for referenceWho 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 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.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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