AI / Machine Learning Intern (Agentic Systems or ML Research)

About the Internship

We are seeking AI Research Intern to work on agentic AI workflows and machine-learningbased 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: 36 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