Job Description

About the Internship

We are seeking AI Research Intern to work on agentic AI workflows and machine-learning–based design automation. This role is purely computer-science focused and offers two independent technical tracks under one internship.

  • Candidates with skills in either track are encouraged to apply.
  • No optics or domain background required.
  • Internship Tracks (Choose One)

Track 1: Agentic AI & Workflow Systems

Work on building AI agents that plan, validate, and execute complex workflows using structured reasoning and tools.

Skills

• Python, REST APIs, JSON schemas

• LLMs, prompt engineering, tool calling

• MCP servers

• Workflow orchestration (LangChain-style, n8n, custom)

Track 2: Machine Learning / Deep Learning for Design Automation

(ML · Deep Learning · Optimization · Research-to-Code)

Work on ML-based design and optimization systems inspired by neural network and other deep learning tools.

Skills

• Machine learning fundamentals

• Deep learning (PyTorch / TensorFlow)

• Regression, optimization, surrogate modeling

• Ability to read and implement research papers

Other Details

Duration: 3–6 months

Mode: Remote / Hybrid

Stipend: Based on skills & experience

Start Date: Flexible

How to Apply

Apply if you are confident in Track 1 or Track 2.

Please mention your preferred track in your application


Skills Required
Regression, Tensorflow, Deep Learning, Pytorch, Optimization, Rest Apis, Python

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