SES Group ยท 1 month ago
Machine Learning Scientist, AI Explainability
United States
Full-time
Remote
Mid, Senior LevelSES AI Corp. is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. They are seeking a Machine Learning Scientist to lead research in Large Language Models and AI agents, focusing on their application in battery technology and material science.
Professional ServicesPublic SafetySecurityTraining
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
Implement innovative solutions to enhance model performance and scalability
Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions that contribute to the discovery of new battery materials and the advancement of lithium battery technology
Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences
Engage in machine learning research aimed at addressing battery design challenges and enhancing system ability to interpret data-driven science efficiently
The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members
Qualification
Required
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
Preferred
Experience with AI applications in material science or battery technology
Familiarity with the latest trends and methodologies in AI research, including algorithms such as GRPO
Benefits
Comprehensive health coverage
Attractive equity/stock options program
Company
SES Group
SES Group was founded in 1998 by Dr Tony Ball and rebranded as SES Group in 2014.
Founded in 1998
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase