SES is developing a Mine-to-Man AI software system for Li-Metal batteries. Born, bred and headquartered in Boston, it has operations in Boston, Shanghai and Seoul.

SES AI Corp

Data Scientist

• Lead NLP projects focusing on material and battery science
• Design and implement data labeling pipelines
• Collaborate with cross-functional teams to drive scientific discovery
• Stay updated on NLP advancements and methodologies

Senior Data Scientist

Machine Learning Engineer

• Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) large language models and their application (including AI agent) in battery and material discovery.
• Troubleshoot and optimize the training process of large language models, addressing the complexities and challenges inherent to training such sophisticated systems. This includes identifying and resolving issues related to data quality, model architecture, and computational efficiency, as well as implementing innovative solutions to enhance model performance and scalability.
• Design, develop, and deploy robust machine learning models in production environments, ensuring their scalability and reliability in collaboration with other computational teams.
• Foster collaboration with cross-functional teams across our AI team and other teams at SES, aiming to solve complex problems in battery and material sciences.
• Engage with external scientific partners, including top academic institutions and industry research groups, to drive innovation and research. Endeavor to publish research findings in top-tier machine learning conferences and journals.

Machine Learning Scientist - LLM

• Conduct groundbreaking research on the explainability of large language models and their reasoning processes, drawing parallels with neuroscience to understand the 'thought processes' of AI systems.
• Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions.
• Apply advanced techniques such as causal graphs and neuroscience-inspired AI methodologies to dissect and enhance the reasoning capabilities of LLMs, with the aim of improving accuracy and reducing instances of hallucination.
• 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-metal battery technology.
• Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences.

Machine Learning Scientist - AI Explainability

Machine Learning Scientist at SES AI, leading the next wave of scientific discovery in material science with advanced AI technologies. Invent and design new deep learning models to predict chemical properties of battery materials. Pioneering developments in generative models using reinforcement learning, VAE, GANs, and diffusion models for novel battery materials generation. Collaborate with academic labs, publish research findings, and enhance battery technology advancements.

SES AI Corp Jobs in New York City