Battery AI Research Scientist - Intern

Object Tech, Inc. is a leading technology company providing full-stack AI solutions to reform tech enterprises’ technology R&D and production. The Battery AI Research Scientist Intern will bridge the gap between battery research and artificial intelligence, working closely with AI and data teams to develop Battery AI tools and models.

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