SES AI Corp. is looking to accelerate the world's energy transition through groundbreaking material discovery and advanced battery management by integrating cutting-edge machine learning into their research and development. The Prometheus team is seeking a Machine Learning Scientist to spearhead the development of Large Language Models (LLM) and advanced AI agents for scientific discovery in material science and battery technology.
Requirements
- 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.
- 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.
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.
- Engage in machine learning research aimed at addressing battery design challenges and enhancing system ability to interpret data-driven science efficiently.
Other
- The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members.
- Excellent problem-solving abilities and a passion for tackling complex technical challenges.
- MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience.
- This position can be remote.
