Job Description
The role involves ensuring the accuracy and quality of AI systems related to battery materials science by translating complex domain knowledge into structured, trainable data and validating model performance, with a focus on advancing next-generation battery technologies through AI and scientific expertise.
Key Responsibilities
- Translate battery materials knowledge into structured, AI-trainable data
- Lead data validation, cleaning, and annotation processes to ensure dataset quality
- Oversee creation of benchmark datasets and design domain-specific evaluations
- Collaborate with AI teams to ensure model correctness, reliability, and scientific reasoning
- Implement techniques to tune and validate AI models against scientific principles
- Apply Battery Informatics principles across data pipelines and modeling efforts
Requirements
- Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational domain field.
- Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats.
- Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets.
- Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration.
- Experience in roles such as Applied Scientist in Molecular Materials AI or similar specialist roles focused on AI system quality in a scientific domain.
- Experience as a Computational battery AI specialist.
- Direct experience designing and executing domain-specific multimodal evaluations for complex AI models.
Benefits & Perks
highly competitive salary
robust benefits package including comprehensive health coverage
attractive equity stock options program
opportunity to contribute to meaningful scientific projects with broad public impact
dynamic, collaborative, and innovative work environment
significant opportunities for professional growth and career development
access to state-of-the-art facilities and proprietary technologies
Ready to Apply?
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