Battery AI Research Scientist Intern

Object is seeking a Battery AI Research Scientist Intern to bridge battery research and artificial intelligence. The intern will curate and structure battery datasets, support the development and validation of AI/ML models for battery R&D, research AI methods for physical science data, and engage with academic and industrial communities.

Responsibilities:

• Curate, preprocess, and categorize experimental and simulation data from various battery sources (e.g., cycling, EIS, post-mortem, electrolyte composition, manufacturing logs)
• Work with Object’s scientists and engineers to develop battery-specific data schemas for Battery AI tools and models
• Annotate and tag datasets with precise experimental context (materials, test conditions, degradation mechanisms)
• Collaborate on mapping battery KPIs and physics-based variables to machine-learning-ready formats
• Assist in developing and validating domain-specific foundation models for battery R&D
• Participate in fine-tuning large language and multimodal models using curated battery data
• Evaluate model outputs, accuracy, and reasoning quality on domain tasks (e.g., electrolyte optimization, lifetime prediction)
• Research and prototype AI methods (transformers, graph neural networks, symbolic ML) for physical science data
• Connect with academic labs and industrial battery manufacturers to expand Object’s collaboration network
• Contribute to whitepapers, publications, benchmark datasets, and technical documentation
• Represent Object at battery conferences and workshops (e.g., ECS, IMLB, AABC, Beyond Lithium, etc)
• Translate community feedback into actionable improvements for the AI agent