Research Engineer

• Research, design, and develop advanced deep learning models and novel neural architectures
• Explore architectures beyond Transformers, including State Space Models, Liquid Neural Networks, and hybrid approaches
• Design and implement agentic AI systems, recursive reasoning engines, and tool-augmented architectures
• Fine-tune models using PEFT techniques such as LoRA and QLoRA, and apply knowledge distillation
• Optimize model performance, inference efficiency, latency, and memory utilization
• Design rigorous experiments, evaluation frameworks, and benchmarks to validate research hypotheses
• Translate cutting-edge research into scalable, production-grade AI systems
• Work across autonomous AI interviewing, fraud and suspicious-behavior detection, and technical-skill evaluation problems
• Shift focus among open research problems based on highest-leverage work

Explore Deep Learning Research Engineer at HackerRank. Review requirements and application details.