At neopoly.AI, we work at the intersection of machine learning and material science to develop novel algorithms that can conjure up truly unique molecules for inverse material discovery. We seek to create constrainable and explainable algorithms to ensure both reliable and safe material discovery in industries not limited to: green energy, sustainable operations, and healthcare.
Your Role
As a machine learning scientist at neopoly.AI, you will lead our efforts in developing invertible generative models. We are looking for creative thinkers with strong algorithm-design and programming skills to help build the next generation of AI for inverse material discovery.
Key Responsibilities
Design, implement and evaluate invertible model architectures for sequence-to-sequence generation tasks.
Work with external collaborators on real-world products.
Key Requirements
Currently enrolled in a Ph.D. program in computer science, AI/ML, or a related field.
Experience with diffusion models, flow models, or transformer architectures in PyTorch.
A real passion for AI
What’s in it for you
Experience applying machine learning to real-world projects in a startup setting.
Full autonomy to contribute meaningfully to research and development.
Opportunity to work alongside the founder in a Central London office.
Possibility to secure a full-time position with us.
Employment type
Internship
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