Machine Learning Scientist, AI Explainability

Core responsibilities:

• Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) Large Language Models and their application (including AI agents) in battery and material discovery.
• Conduct groundbreaking research on integrating domain-specific data (including literature and internal documents) into LLM training and inference.
• Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions.
• Troubleshoot and optimize the training process of large language models, addressing complexities and challenges related to data quality, model architecture, and computational efficiency.

This role contributes directly to accelerating the global energy transition through groundbreaking AI research that enables the discovery of new battery materials and advancement of lithium battery technology, with clear and broad public impact.

Required qualifications:

• 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 include:

• A highly competitive salary and robust benefits package
• Comprehensive health coverage
• Attractive equity/stock options program within our NYSE-listed company
• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science
• Significant opportunities for professional growth and career development
• Access to state-of-the-art facilities and proprietary technologies

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management, pioneering the integration of cutting-edge machine learning into research and development to create AI-enhanced, high-energy-density batteries.