Deep Learning Research Engineer
HackerRank
This HackerRank research-engineering role works on AI interviewing, integrity detection and measuring technical ability in AI-assisted development. It combines novel architecture experiments with getting useful models into efficient production systems.
Posted 2026-10-14 on the employer's public board; verified open on 1 November 2026. Location: Hybrid in Bangalore, India.
About HackerRank
HackerRank builds tools for assessing developer skills, technical interviewing and developer learning. Its listings describe work on AI-assisted engineering assessment as well as the platform used by customers and candidates.
The work
- Research neural architectures beyond standard Transformers, including state-space and hybrid systems.
- Build agentic reasoning workflows and use fine-tuning or distillation when appropriate.
- Create evaluation benchmarks and optimize latency, memory use and model performance.
Eligibility and skills
The following is a condensed summary of the employer's requirements, not extra eligibility set by GetFirstJob.
- M.Tech., M.S. or Ph.D. in AI/ML or a related discipline; a Tier 1 research institution is preferred.
- 2-3 years of deep-learning, ML or applied research experience.
- Hands-on PyTorch/JAX development and the ability to reproduce and extend papers.
- Strong mathematical, experimental-design and model-evaluation skills.
Who this suits
Fits postgraduate researchers who also enjoy engineering constraints. The listing values publications and open-source research, while serving and optimization experience can help connect research to the product.
Preparation notes
Prepare a model experiment end to end: hypothesis, baseline, validation and deployment tradeoffs. The role is hybrid in Bangalore, and the employer distinguishes preferred research credentials from core requirements. These preparation suggestions are editorial guidance, not a confirmed interview process.
How to apply
Read the full listing and apply on the employer's official posting. The Greenhouse URL is provided by the employer's public jobs feed. Requirements and availability can change after our check. No numerical salary is stated for this India role in the source, so none is estimated here.
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Source
Verified against the employer listing and its public Greenhouse feed on 1 November 2026. Posted date comes from the feed's first_published field. This is an original summary with a direct application link, not a reproduced job description.
This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.