The Role:

We are looking for an experienced Machine Learning Researcher to join our multidisciplinary research team. This is a hybrid role with 2 to 3 days in the office in London, UK or Princeton, NJ

As a Researcher you will be part of our team developing large-scale AI models for the design of new advanced materials, including generative models and AI-accelerated simulation models. An example of some of our work is  Orb - the world’s fastest and most accurate model for simulating advanced materials. You’ll be working with a high performing AI team with over 23,000 citations in the area.

Our AI team is part of our broader scientific effort to create new advanced materials, including our wet lab in Princeton, NJ where we synthesise, test and characterise the new materials that will power the energy transition.

Responsibilities:

• Independently design and implement ML models.
• Engineer ML models at scale.
• Independently manage projects and coordinate with cross-functional teams.
• Provide guidance to team members and help troubleshoot technical issues.

Skills & Experience:

• PhD or 3-5 years experience in machine learning research.
• A strong background in algorithms, data structures, and code standards and practices
• Hands on familiarity with engineering machine
• Familiarity with performance optimisation of deep learning models
• Familiarity with distributed training of models and remote computing environments
• An interest in computational approaches to molecule & materials design.
• An interest in working with experimental scientists on discovering breakthrough new materials.
• Bonus: Experience working with graph neural networks, message passing neural networks, or computational methods on graphs, 3D point clouds, or other 3D data. Experience training, evaluating or building with large language models.