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Researcher (LLMs)

Orbital Materials

Orbital Materials

Princeton, NJ, USA
Posted on Oct 1, 2024

Researcher (LLMs)

Location
Princeton NJ
The Role
We are looking for a researcher to work on frontier generative AI problems to accelerate scientific discovery, our understanding of the universe, and solve climate change. This is a hybrid role with 2 to 3 days in the lab in Princeton, NJ.
You will be the first AI researcher at our synthesis and testing facility in Princeton, NJ. From there you’ll work closely with the London, UK computational group to develop new AI-powered tools to accelerate experimental progress in material discovery and technology development.
This role will develop LLM-based scientists to engineer materials at the atomic scale. You will develop LLM agents to connect and leverage diverse knowledge sources and computational capabilities - from our proprietary generative foundation model LINUS, high throughput DFT and molecular simulations, to human chemical intuition and experimental data, testing the boundaries of chemical reasoning in LLMs. Sitting at the centre of our interdisciplinary research team, you will be uniquely placed to guide the development of a new, AI-powered methodology for rapidly scaling crucial technologies for the energy transition.
Responsibilities:
Design and implement frontier research methods using LLMs for chemistry, from literature understanding and data extraction, to agentic systems and natural language interfaces.
Develop and design tools which maximise the value of our AI and computational chemistry research for our experimental chemistry team.
Aid in the translation of chemistry challenges into concrete computational modelling solutions, and computational results into concrete scientific hypotheses.
Skills & Experience:
Research experience in the application of LLMs to scientific problems, in particular chemistry and material science. Publicly available projects and demonstrations will be considered alongside publication history.
Experience evaluating LLMs and other machine learning models
Strong software development skills (python)
Familiarity with computational chemistry methods such as DFT, Monte-Carlo / Molecular Dynamics simulations
Laboratory experience
Salary & Benefits
Competitive base salary with AI sector
Generous equity package
Healthcare coverage (including medical, dental, and vision)
401K retirement benefits
Flexible and generous paid time off
Regular team offsites
Apply
Please send your CV and cover letter to: info@orbitalmaterials.com
Equal Opportunity Employer
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.