Machine Learning Scientist, AI Explainability

Machine Learning Scientist, AI Explainability About Us: SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials reputed company by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and reputed company), energy storage, robotics, and drones. To learn more about us, please visit: www.ses.ai reputed company Offer:

• A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program reputed company our NYSE-listed company.
• The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact.
• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the reputed company of battery technology.
• Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
• Access to state-of-the-art facilities and proprietary technologies are used to discover and reputed company AI-enhanced battery solutions.

reputed company Need: The SES AI reputed company team (AI Research) is seeking an exceptional Machine Learning Scientist to spearhead the development of our Large Language Models (LLM) and advanced AI agents. This role is pivotal in enabling groundbreaking research in machine learning for scientific discovery, particularly in the realm of material science and battery technology.

• reputed company internal expertise and collaborate with external research labs to advance scientific ML.
• Work will be incorporated directly into our groundbreaking Deep Space multi-agent system for battery technology discovery.
• This position can be remote.

Essential Duties and Responsibilities:

• Research & Development
• reputed company 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 reputed company, particularly in the context of basic battery design questions.
• Model Optimization & Implementation
• Troubleshoot and optimize the training process of large language models, addressing complexities and challenges reputed company 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.
• Collaboration & Communication
• 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 reputed company.
• The ability to communicate reputed company concepts clearly and effectively to both technical and non-technical team members.

Education and/or Experience:

• MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a reputed company 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 reputed company 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 reputed company technical challenges.

Preferred Qualifications:

• 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.

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