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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 Educational Background: M.S or PhD in Machine Learning, Material Science, Chemistry, or a related field with a focus on AI for scientific applications. Experience: Skilled in machine learning and materials discovery, especially in training ML models for applications like electro-catalysis. Adaptability: A proactive learner with a passion for uniting machine learning with materials science. Communication: Exceptional ability to convey complex ideas to interdisciplinary teams and stakeholders. Analytical Ability: Strong analytical and problem-solving skills. Technical Skills: Proficient in Python, familiar with Git, and capable with data analysis and visualization tools. Knowledge in catalysis, physics, and chemistry is a plus. Perks & Benefits Competitive Salary: Your expertise is valued. Equity: Join us on our journey with a stake in our company's success. Health Coverage: Comprehensive health insurance with Alan blue. Flexible Work Setting: We prioritize in-person collaboration but offer flexibility for occasional remote work. #J-18808-Ljbffr
