Deep Learning Research Engineer

About the role

Open Problems

What you will do

• Research, Design, and Develop advanced Deep Learning models and novel Neural architectures.
• Explore architectures beyond Transformers, including State Space Models (SSMs), Liquid Neural Networks (LNNs), and Hybrid approaches.
• 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.
• Translate cutting-edge research into scalable, production-grade AI systems.

Who you are

• M.Tech./M.S./Ph.D. in AI/ML or related disciplines, preferably from a Tier 1 premier Research Institution.
• 2–3 years of experience in Deep Learning, Machine Learning, or Applied AI Research.
• Strong foundations in Linear Algebra, Probability, Statistics, Optimization, and Deep Learning algorithms.
• Proficient in frameworks like PyTorch/JAX, with hands-on model development experience.
• Demonstrated ability to implement, reproduce, and extend research papers, including building neural architectures from scratch.
• Familiarity with distributed computing, GPU acceleration, and scalable ML infrastructure.
• Strong understanding of experimental design, model evaluation, benchmarking, and statistical validation.
• Demonstrated research aptitude through publications, open-source contributions etc.
• Even better if you have
• Publications at top venues (NeurIPS, ICML, ICLR, ACL) or notable open-source contributions in model architectures or agentic systems.
• Experience with LLM evaluation, fraud or anomaly detection, or building systems where the “ground truth” is still being defined.
• Hands-on work taking models from research into low-latency, production inference, such as quantization, distillation, or serving optimization.
• You will thrive here if you
• You enjoy solving open-ended research problems and challenging established assumptions.
• You prefer first-principles thinking and rigorous experimentation over simply applying existing models.
• You are excited to explore next-generation AI architectures beyond traditional Transformers.
• You thrive in a fast-paced environment with intellectual freedom, ownership, and direct collaboration with leadership.
• You are passionate about turning novel AI research into efficient, scalable, real-world systems.
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• HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
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Even better if you have

You will thrive here if you