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Data Evaluation Applied AI Scientist

SES
Woburn, Massachusetts
Full Time
Posted November 26, 2025
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Job Description

A specialized role focused on ensuring the quality, accuracy, and scientific integrity of AI systems applied to battery materials research, including data curation, validation, and model evaluation within a cutting-edge energy technology company.

Key Responsibilities

  • Translate battery materials knowledge into structured, AI-trainable data
  • Lead data validation, cleaning, and annotation processes to ensure dataset quality
  • Oversee creation and management of benchmark datasets and domain-specific evaluations
  • Collaborate with AI teams to ensure model correctness, reliability, and scientific reasoning
  • Implement techniques such as reinforcement learning to tune and validate AI model behavior
  • Apply Battery Informatics principles across data pipelines and modeling efforts

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, particularly knowledge required to convert complex, real-world data into AI-trainable formats.
  • 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.
  • Experience in roles such as Applied Scientist in Molecular Materials AI or similar specialist roles focused on AI system quality in a scientific domain.
  • Experience as a Computational battery AI specialist.
  • Direct experience designing and executing domain-specific multimodal evaluations for complex AI models.

Benefits & Perks

highly competitive salary
robust benefits package including comprehensive health coverage
attractive equity stock options program
opportunity to contribute to meaningful scientific projects with broad public impact
work in a dynamic, collaborative, and innovative environment
significant opportunities for professional growth and career development
access to state-of-the-art facilities and proprietary technologies

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