AI Materials Scientist

il y a 1 semaine


Paris, Ile-de-France altrove Temps plein

About Altrove

Founded by a successful repeat entrepreneur and a top technical CTO (PhD Materials Science from Cambridge University), we're a rapidly growing startup, supported by top investors and partners. We're tackling the biggest materials challenges of the century, solving the mineral crisis threatening the energy transition. At altrove, we are bridging the gap between crystal structure prediction and inorganic material synthesis by using our deep AI expertise and high-throughput laboratory.


Role and responsibility

We're looking for a highly skilled materials expert with deep AI expertise to help build state-of-the-art material synthesis pipelines that bring together our generative AI algorithms and our high-throughput materials laboratory. Altrove is a small team, you’ll be working closely with the entire technical team and the founders. You will need to take responsibility for decision and execution on:


  • Materials – AI Interface – Implement state of the art AI models (encoder-decoder, transformer, GNNs and more) for the rapid property prediction and candidate selection of novel materials.


  • Novel AI Pipelines – Develop novel graph models for the encoding of experimentally relevant materials problems, and interface those with experimental results.


  • Model Finetuning – Fine-tune pretrained ML/AI forcefields for the prediction of relevant material properties.


  • Compute Resource & Data Management – Participate in management of GPU and CPU resources, develop pipelines to ensure those resources are effectively used. Maintain proprietary databases of experimental and simulation data.


  • Interaction with Commercial Customers – Take part in commercial partnerships and projects, interact with customers and ensure delivery to tight deadlines.


Experience & Qualifications

  • Significant experience (PhD or years in industry) with ML/AI applied to materials science problems
  • Ability to fine-tune and infer AI models
  • Knowledge in inorganic chemistry / materials science / materials physics
  • Knowledge of graph neural networks and transformer architectures a plus
  • Ability to take responsibility and be autonomous
  • Get-s*it-done attitude
  • Fluent English


You will work on solving a generational problem along with a world-class team. You will have the possibility to own shares in the company and will work in a fast-paced, fascinating environment.


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