Job Description
A software intern role focused on developing AI-driven data systems, computer vision pipelines, and autonomous workflows to support battery research and development at a next-generation battery materials company.
Key Responsibilities
- Build and deploy autonomous AI agents to automate experimental management and data analysis
- Develop automated pipelines for characterization techniques such as SEM to extract features and detect defects
- Create data pipelines for handling large-scale, high-frequency battery datasets using advanced frameworks
- Support backend pipeline development, including FastAPI tools and internal dashboards for AI-driven insights
Requirements
- Currently enrolled in a Ph.D. program in Computer Science, Materials Science, or a related field, with a preference for MSc degree holders.
- Mastery of Python scientific libraries including NumPy, SciPy, and Pandas.
- Expert-level experience with high-performance frameworks such as Polars, Vaex, or Dask for handling massive datasets.
- Experience building agentic workflows using tools like LangGraph, CrewAI, and utilizing cloud-native AI functions such as Snowflake Cortex.
- Proficiency in OpenCV or deep learning-based image segmentation techniques such as SAM for material characterization.
- Strong proficiency in building production-ready code, including experience with Kubernetes (K8s), Docker, and CI/CD pipelines.
- Basic understanding of Li-ion battery chemistry, materials processing, and electrochemical testing.
- Proficiency in using AI coding tools such as Claude Code, Copilot, and Git-based collaboration tools.
Benefits & Perks
Compensation/salary range: $25/hr to $39/hr, depending on education, experience, and skills
Work environment: On-site in Alameda HQ
Work schedule: May be eligible for overtime
Additional benefits: Part of Sila's competitive Total Rewards package which can include benefits, perks, and equity
Ready to Apply?
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