Job Name:
Battery AI Research Scientist Intern
Application Page
: https://www.object.tech/jobs/battery-scientist-intern
Company:
Object Tech, Inc.
Location:
Remote
Duration:
3-6 months (extendable every 6 months)
Position Type:
Internship (OPT/CPT eligible)
About Us
Object Tech, Inc. is a leading technology company providing full-stack AI solutions to reform tech enterprises’ technology R&D and production. With the fusion of experienced scientists and engineers in materials science, nanotechnology, semiconductor manufacturing, machine learning, computer vision and software engineering, we are thriving on cutting-edge end-to-end AI solutions to help accelerate deep tech R&D and promote high-yield production. We are committed to fostering a dynamic and inclusive work environment where creativity and innovation thrive.
Job Description
The
Battery AI Research Scientist Intern
will bridge the gap between
battery research
and
artificial intelligence
. You’ll work closely with our AI and data teams to:
- Bring scientific depth to the development of Battery AI tools and models,
- Help curate and structure battery datasets,
- Explore AI-driven insights for materials, performance, and failure prediction, and
- Represent our developments in the scientific community.
This is a hands-on, interdisciplinary role ideal for someone passionate about
both electrochemistry and machine learning
, and eager to see AI reshape the future of energy storage.
Key Responsibilities
1. Battery Science and Data Integration
- Curate, preprocess, and categorize experimental and simulation data from various battery sources (e.g., cycling, EIS, post-mortem, electrolyte composition, manufacturing logs).
- Work with Object’s scientists and engineers to develop
battery-specific data schemas
for Battery AI tools and models.
- Annotate and tag datasets with precise experimental context (materials, test conditions, degradation mechanisms).
- Collaborate on mapping
battery KPIs and physics-based variables
to machine-learning-ready formats.
2. AI/ML and Model Development
- Assist in developing and validating
domain-specific foundation models
for battery R&D.
- Participate in fine-tuning large language and multimodal models using curated battery data.
- Evaluate model outputs, accuracy, and reasoning quality on domain tasks (e.g., electrolyte optimization, lifetime prediction).
- Research and prototype AI methods (transformers, graph neural networks, symbolic ML) for physical science data.
3. Knowledge & Community Engagement
- Connect with academic labs and industrial battery manufacturers to
expand Object’s collaboration network
.
- Contribute to whitepapers, publications, benchmark datasets, and technical documentation.
- Represent Object at
battery conferences and workshops
(e.g., ECS, IMLB, AABC, Beyond Lithium, etc).
Translate community feedback into actionable improvements for the AI agent.
Required Qualifications
- Currently pursuing a
Ph.D. (preferred)
or advanced Master’s in:
Preferred Qualifications
- Publications in battery modeling, electrochemistry, or ML for materials science.
- Familiarity with large language models (LLMs) or foundation models.
- Experience with data cleaning and ontology design for scientific data.
- Exposure to HPC environments or cloud-based AI workflows.
What We Offer
- Front-row experience in
building a scientific LLM
and AI R&D agent for real-world applications.
- Opportunity to publish and present
AI–Battery intersection research
with Object and Object’s prestigious collaborators.
- Mentorship from interdisciplinary battery and AI scientists and engineers.
- Connection with battery industry and industrial experts on battery technology developments
