Hybrid Data & Evaluation Applied AI Scientist

at SES AI Corp

• Job title: Data & Evaluation Applied AI Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, Woburn, United States

About the role

• Data & Evaluation Applied AI Scientist at SES AI Corp., focusing on integrating AI into battery technology for energy transition. Collaborating with experts in a dynamic, innovative environment for impactful scientific projects.

Responsibilities

• Data Curation & Validation: Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data.
• Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets.
• Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy.
• AI System Quality & Correctness: Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration.
• Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles.
• Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain.
• Strategy & Collaboration: Drive the application of Battery Informatics principles across all data pipelines and modeling efforts.

Requirements

• Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field.
• Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats.
• Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets.
• AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration.
• Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain.

Benefits

• 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.