Data & Evaluation Applied AI Scientist

SES AI Corp. is seeking a Data & Evaluation Applied AI Scientist to accelerate the world's energy transition through groundbreaking material discovery and advanced battery management. The role involves translating deep Battery Materials Knowledge into structured, high-quality, AI-trainable data and ensuring the correctness, reliability, and scientific reasoning quality of models.

Requirements

• Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field
• Deep expertise in battery materials
• Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets
• Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration

Benefits

• Highly competitive salary
• Robust benefits package
• Comprehensive health coverage
• Attractive equity/stock options program