Deep Learning Research Engineer

About the role

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. The AI/ML systems that power this platform are not auxiliary features. They are the product. The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.

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

• 2–3 yrs of experience
• Deep learning
• Research
• Machine learning
• Statistics
• PyTorch
• M.Tech or PhD

Good to have

• LLMs