Machine Learning Scientist

Job Opening : Machine Learning Scientist - Chemistry Focus

Are you driven to make a real impact through cutting-edge AI and chemistry? Ready to be part of a breakthrough initiative to accelerate the energy transition? Join a purpose-driven, well-funded startup where your contributions will have a lasting impact on both technology and the environment. We're building an innovative AI platform that discovers new catalysts, fundamentally transforming chemical processes to significantly reduce CO emissions.

Why You Should Join Us

We're an early-stage startup backed by over 8M in funding, rooted in academic research but highly focused on real-world applications. Our agile team is dedicated, passionate, and unified by the belief that our technology can create transformative change. We cultivate a collaborative environment where diverse perspectives, clear communication, and a commitment to excellence are our core strengths. Here, you'll be supported, challenged, and inspired as we scale up to take on carbon-intensive industries and drive sustainable change.

What You'll Do

Reporting directly to the Chief Science Officer, you'll join our Paris-based team to advance our mission of discovering game-changing materials that can reimagine chemical reactions. As an ML Scientist, you'll play a central role in :

• Developing Algorithms : Collaborate with our expert team to create predictive and generative ML models, optimizing them for materials discovery in partnership with our industry and academic collaborators.
• Model Evaluation : Continuously assess and refine our models' performance, creating custom metrics that drive effective catalyst generation.
• Active Learning : Shape the active learning strategy, optimizing sample selection to enhance future model performance.
• Catalyst Analysis : Guide the evaluation of new catalyst candidates using your scientific expertise to prioritize results.
• Communicating Results : Present AI research concepts to the materials science community and communicate experimental needs with the ML team.
• Cross-Disciplinary Collaboration : Work side-by-side with ML engineers, material scientists, and chemists to develop effective materials for critical applications.

What We're Looking For

Perks & Benefits