Bengaluru · Hybrid
Deep Learning Research Engineer
- Salary
- Not disclosed
- Experience
- 2–3 years
- Eligible batches
- 2023 · 2024
- Degree
- M.Tech, M.S, PhD
- Location
- BengaluruHybrid
About the role
HackerRank is looking for a Deep Learning Research Engineer to advance its AI‑driven hiring platform. Based in a hybrid setup in Bangalore, you will tackle open research problems such as autonomous interview agents, fraud detection, and new ways to evaluate technical skill.
Responsibilities
- Design and build cutting‑edge deep‑learning models and novel neural architectures beyond standard transformers.
- Explore state‑space models, liquid neural networks, and hybrid approaches for agentic AI systems.
- Fine‑tune models with PEFT techniques like LoRA and QLoRA, and apply knowledge‑distillation methods.
- Optimize inference latency, memory usage and overall performance for production deployment.
- Create rigorous experimental pipelines, benchmarks and evaluation frameworks to validate hypotheses.
- Translate research breakthroughs into scalable, production‑grade services.
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Eligibility
- Master’s (M.Tech, M.S) or Ph.D. in AI/ML or a closely related field, preferably from a top research institute.
- 2–3 years of hands‑on experience in deep learning, machine learning or applied AI research.
- Strong foundation in linear algebra, probability, statistics, optimization and deep‑learning algorithms.
- Proven ability to reproduce and extend research papers, with a record of publications or notable open‑source contributions.
Skills
- Proficiency with PyTorch or JAX for model development.
- Experience in distributed computing and GPU‑accelerated training.
- Expertise in model optimization, quantization, and low‑latency serving.
- Solid understanding of experimental design, benchmarking and statistical validation.
- Familiarity with state‑of‑the‑art architectures such as SSMs and liquid neural networks.
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Asked for
- PyTorch
- Jax
- Deep learning
- Neural networks
- Distributed computing
- GPU acceleration
- Model optimization
- Statistics
- Linear algebra
- Probability
Nice to have
- NLP
- LLM evaluation
- Anomaly detection
- Quantization
- Distillation
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About HackerRank
HackerRank is an American HR-technology company headquartered in Mountain View, California, with substantial engineering operations in Bengaluru, that operates a developer-skills assessment and interview platform used by employers to evaluate technical candidates and a public coding-challenges community for developers.
Founded 2009 · 501-1000 employees · HQ Mountain View, California, United States
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