Machine Learning Scientist, AI Explainability
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About the Role
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 discovered 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 air), energy storage, robotics, and drones.
To learn more about us, please visit: www.ses.ai
What We Offer:
- A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within 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 next generation 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 deploy AI-enhanced battery solutions.
What we Need:
The SES AI Prometheus 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.
- Harness 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.
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