AI Researcher Intern

About the role

We are looking for research-oriented M.S./Ph.D. scholars to explore and develop novel Deep Learning architectures and build efficient, trustworthy AI systems. A key research direction is to develop a model-agnostic external Recursive Reasoning Engine that enables smaller models (SLM/SSM/Hybrid etc.) to solve complex, repository-grounded software engineering tasks with greater effectiveness, traceability, and lower inference cost.

What you'll do

• Research, Design, and Develop advanced Deep Learning models and novel Neural architectures
• Design and implement Agentic AI systems, Recursive Reasoning Engines, and tool-augmented architectures
• Fine-tuning of models using PEFT (e.g. LoRA, QLoRA etc.), and Knowledge Distillation
• Optimize model Performance, Inference Efficiency, Latency, and Memory utilization
• Design rigorous experiments, evaluation frameworks, and benchmarks to validate research hypotheses

What you need

• Machine learning
• Deep learning
• Statistics
• PyTorch
• PhD or M.Tech