Battery AI Research Intern: Materials & ML for Storage

Object; San Jose (CA); On-site; USD 34,000 - 55,000; Part time

Job summary

Object Tech, Inc. seeks a Battery AI Research Scientist Intern to bridge battery science and artificial intelligence. You’ll curate datasets, build AI-powered tools, and collaborate with AI and data teams to advance data-driven battery R&D.

The role involves developing domain-specific models, evaluating outputs, and contributing to scientific communications and collaborations with academic and industrial partners.

Qualifications

• Pursuing a Ph.D. (preferred) or advanced Master’s in related fields.
• Strong background in materials, electrochemistry, or AI/ML with energy materials.
• Experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Familiarity with scientific data formats and data analysis.

Responsibilities

• Bridge battery research and AI to develop Battery AI tools and models.
• Curate and structure battery datasets for AI workflows and experiments.
• Develop data schemas for Battery AI tools and model integration.
• Annotate datasets with materials, test conditions, and degradation data.
• Explore AI methods for physics-informed battery data analysis.

Skills

Python

Data analysis

PyTorch

TensorFlow

scikit-learn

Technical writing

Education

Ph.D. in Materials Science

Advanced Master’s in related field

Tools

CSV

HDF5

JSON

ELN/LIMS data

Job description

Object Tech, Inc. seeks a Battery AI Research Scientist Intern to bridge battery science and artificial intelligence. You’ll curate datasets, build AI-powered tools, and collaborate with AI and data teams to advance data-driven battery R&D.

The role involves developing domain-specific models, evaluating outputs, and contributing to scientific communications and collaborations with academic and industrial partners.