GenAI & AI/ML Engineering Intern — Onsite Milpitas

SanDisk

Milpitas (CA)

On-site

USD 44,000 - 63,000

Full time

2 days ago
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Job summary

SanDisk in Milpitas, CA seeks a GenAI & AI/ML Engineering Summer Intern to help revolutionize semiconductor workflows with cutting-edge AI technologies. You will develop LLM inference pipelines, design RAG systems, build AI tools, and collaborate with senior engineers on data pipelines and model evaluation, mentored by experts in GenAI and semiconductor design.

Applicants must be enrolled in CS/EE/CE/Data Science programs and proficient in Python and ML frameworks.

Qualifications

  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in a technical field.
  • Strong Python programming and experience with ML frameworks (Spark, Ray, pandas, scikit-learn, PyTorch, OpenAI API).
  • Fundamental ML concepts and algorithms.
  • Basic NLP and Generative AI knowledge.

Responsibilities

  • Develop and deploy LLM inference pipelines for EDA workflows.
  • Design retrieval-augmented generation and semantic search for docs.
  • Implement conversational AI agents for technical support.
  • Fine-tune AI models and build multimodal AI systems.
  • Create data pipelines and dashboards with NLG enhancements.
  • Monitor model performance and conduct A/B testing.
  • Collaborate with engineers on ML for design optimization.

Skills

Python
Spark
Pandas
PyTorch
OpenAI API
Algorithms
NLP basics

Education

Bachelor's/Master's/Ph.D. student in CS/EE/CE/Data Science

Tools

Ray
scikit-learn
OpenAI API

Job description

SanDisk in Milpitas, CA seeks a GenAI & AI/ML Engineering Summer Intern to help revolutionize semiconductor workflows with cutting-edge AI technologies. You will develop LLM inference pipelines, design RAG systems, build AI tools, and collaborate with senior engineers on data pipelines and model evaluation, mentored by experts in GenAI and semiconductor design.

Applicants must be enrolled in CS/EE/CE/Data Science programs and proficient in Python and ML frameworks.

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