Machine Learning Scientist, AI Explainability

SES

Woburn, Massachusetts

Full Time

Posted March 17, 2026

Energy Storage

Remote

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Job Description

The Machine Learning Scientist will lead research and development of large language models and AI agents to advance battery material discovery and technology, collaborating with multidisciplinary teams and contributing to scientific publications in a cutting-edge energy research environment.

Key Responsibilities

Lead research on multimodal Large Language Models and AI agents for battery and material discovery.
Integrate domain-specific data into LLM training and inference processes.
Investigate problem-solving, planning, and solution generation mechanisms in LLMs related to battery design.
Troubleshoot and optimize the training process of large language models for performance and scalability.
Collaborate with multidisciplinary teams to develop practical AI solutions for discovering new battery materials.
Publish research findings and present at conferences to contribute to academic and industry knowledge.

Requirements

MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience.
Strong foundational knowledge and practical experience in Machine Learning, Deep Learning, and Large Language Models.
Proficiency in programming languages relevant to machine learning, with a strong preference for Python.
Experience with deep learning frameworks such as PyTorch or TensorFlow.
Proficiency in utilizing causal graphs for AI research and application.
A solid track record of innovative research, preferably with published work in relevant areas.
Excellent problem-solving abilities and a passion for tackling complex technical challenges.