AI Researcher Intern
Core
Research and develop novel Deep Learning architectures and efficient, trustworthy AI systems for AI-driven technical interviewing and assessment.
Role type
Research-oriented M.S./Ph.D. scholar (Deep Learning)
Builds
Autonomous AI interviewers, fraud detection systems, and scalable production-grade AI systems.
Domain
AI Research / Deep Learning / Software Engineering
Deliverable
production ML models
Required skills
Deep Learning, Machine Learning, Linear Algebra, Probability, Statistics, Optimization, PyTorch, JAX, Neural Architecture Design, Model Fine-tuning, Knowledge Distillation, Experimental Design, Benchmarking
Preferred skills
Evaluation Benchmarks for Software Engineering, Human-Agent Collaborations, Distributed Computing, GPU Acceleration, Scalable ML Infrastructure
Responsibilities
Research and design advanced Deep Learning models and novel Neural architectures; Implement Agentic AI systems and Recursive Reasoning Engines; Optimize model performance, inference efficiency, and latency; Design rigorous experiments and evaluation frameworks to validate research hypotheses.
Seniority
Intern (M.S./Ph.D. level)
