Applied ML Scientist - Chemistry

Lead ML model development for prediction and optimization across chemistry, formulation, property, and process. Collaborate with R&D and manufacturing on problem framing and translate business goals into well-posed multi-objective optimization modeling tasks.

What You Will Do

Develop and select input representations for raw materials, chemistry, and signal data, such as molecular descriptors and fingerprints, learned embeddings, and spectral features. Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

Why It Might Be a Fit

Strong Python skills and experience with mainstream Python-based ML frameworks and tools. Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field
• Substantial relevant experience in ML modeling experience for chemistry, formulation, process, or manufacturing problems
• Domain knowledge in chemistry, preferably polymer chemistry
• Strong Python skills and experience with mainstream Python-based ML frameworks and tools
• Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches

Benefits

• Equal Opportunity, Affirmative Action employer
• Drug test and background investigation
• Periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies