HackerRank•7 days ago
AI Researcher Intern
Recruiter Fit Breakdown & Candid Summary
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This is an AI Researcher Intern role at HackerRank focusing on advanced deep learning, agentic AI systems, and recursive reasoning engines.
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The ideal candidate is an M.Tech., M.S., or Ph.D. student/graduate in AI/ML with 2-3 years of experience in deep learning research and a strong foundation in PyTorch or JAX.
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This position is well-suited for scholars passionate about pushing boundaries beyond standard Transformers, though those seeking traditional software engineering roles should not apply.
Role Responsibilities
- 1Research, design, and develop advanced deep learning models and novel neural architectures.
- 2Explore architectures beyond Transformers, including State Space Models, Liquid Neural Networks, and Hybrid approaches.
- 3Design and implement Agentic AI systems, Recursive Reasoning Engines, and tool-augmented architectures.
- 4Fine-tune models using PEFT and knowledge distillation, optimizing performance, inference efficiency, latency, and memory utilization.
- 5Design rigorous experiments, evaluation frameworks, and benchmarks to validate research hypotheses and translate findings into production-grade systems.
Skills Matrix
Must-Have Skills
Deep Learning(DL)
PyTorch
JAX
Linear Algebra
Probability and Statistics(Probability)
PEFT(Parameter-Efficient Fine-Tuning)
Agentic AI Systems
Nice-to-Have Skills
Distributed Computing
GPU Acceleration
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