Applied ML Scientist – Chemistry

Responsibilities

• Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
• Collaborate with R&D and manufacturing on problem framing
• Curate and analyze chemical and experimental data
• Develop and select input representations for raw materials, chemistry, and signal data
• Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
• Quantify and calibrate model performance and uncertainty

• Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field
• 5+ years experience
• Strong Python skills
• Experience in applied statistics and uncertainty quantification
• Domain knowledge in chemistry, preferably polymer chemistry