Machine Learning Scientist, AI Explainability
SESWoburn, Massachusetts
Full Time
Posted December 16, 2025
Energy Storage
Remote
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Job Description
The Machine Learning Scientist will lead research and development of advanced AI models, particularly Large Language Models, to accelerate material discovery and battery technology innovation within a collaborative, cutting-edge environment.
Key Responsibilities
- Lead research in machine learning for scientific discovery, focusing on multimodal Large Language Models and AI agents in battery and material discovery.
- Integrate domain-specific data into LLM training and inference to enhance scientific research capabilities.
- Investigate how LLMs approach problem-solving, planning, and solution generation 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 and advancing lithium battery technology.
- Publish research findings and present at conferences to contribute to academic and industry discussions.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
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.
Benefits & Perks
A 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
Work in a dynamic, collaborative, and innovative 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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