TL;DR
Software Internship - AI & Battery Informatics (AI Engineering): Bridging the gap between electrochemical R&D and production-grade data science, focusing on the "heavy lifting" of data systems, computer vision, and AI-forward applications. Focus on building autonomous workflows to determine how we discover the next generation of energy storage.
Location: This role is on-site in our Alameda HQ.
Salary: $25/hr - $39/hr
Company
Sila is a next-generation battery materials company with the mission to power the world’s transition to clean energy by building a better lithium-ion battery from the inside out.
What you will do
- Build and deploy autonomous AI agents to automate experimental management, enabling researchers to query, summarize, and reason over complex datasets.
- Develop automated pipelines for SEM and other characterization techniques to automate feature extraction.
- Support data orchestration and optimization for modeling teams with build and validate physics-based and ML- models to predict battery performance.
- Design and optimize data pipelines capable of handling massive, high-frequency battery datasets using advanced frameworks for out-of-memory processing.
- Support the development of backend pipelines, FastAPI tools, and internal dashboards to bring AI-driven insights to a wider audience.
Requirements
- BSc (or preferably MSc/currently enrolled in a Ph.D. program) in Computer Science, Materials Science, or a related field.
- Mastery of Python scientific libraries (NumPy, SciPy, Pandas). Expert-level experience with high-performance frameworks like Polars, Vaex, or Dask for massive datasets.
- Experience building agentic workflows and utilizing cloud-native AI functions such as Snowflake Cortex.
- Proficiency in OpenCV or deep learning-based image segmentation for material characterization.
- Strong proficiency in building production-ready code, including K8s, Docker, and CI/CD pipelines.
- Basic understanding of Li-ion battery chemistry, materials processing, and electrochemical testing.
- Proficiency in using AI coding tools and Git-based collaboration.
Culture & Benefits
- Building a diverse team helps us amplify our individual talents.
- We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone.
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