Deep Learning Research Engineer

This role involves developing advanced deep learning models for AI-driven hiring systems. You will explore novel neural architectures and optimize models for real-world applications. The work focuses on building scalable AI solutions that redefine technical talent evaluation.

Summarised by InternDoor from HackerRank’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Build and optimize deep learning models for AI hiring systems
• Work on cutting-edge architectures like SSMs and LNNs
• Translate research into scalable, production-ready AI systems

Required

• M.Tech./M.S./Ph.D in AI/ML or related disciplines, preferably from a Tier 1 premier Research Institution
• Experience 2–3 years of experience in Deep Learning, Machine Learning, or Applied AI Research
• Foundations in Linear Algebra, Probability, Statistics, Optimization, and Deep Learning algorithms
• Frameworks like PyTorch/JAX, with hands-on model development experience
• Implement ability to implement, reproduce, and extend research papers, including building neural architectures from scratch
• Familiarity with distributed computing, GPU acceleration, and scalable ML infrastructure
• Understanding of experimental design, model evaluation, benchmarking, and statistical validation
• Research aptitude through publications, open-source contributions etc

Nice to have

• Publications at top venues (NeurIPS, ICML, ICLR, ACL) or notable open-source contributions in model architectures or agentic systems
• Hands-on work taking models from research into low-latency, production inference, such as quantization, distillation, or serving optimization

Read from HackerRank’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above: HackerRank asks for 2–3 years.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on HackerRank’s careers site. The application is on job-boards.greenhouse.io, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

14 Oct 2026, on LinkedIn; re-posted 5 Nov 2026

First seen by InternDoor

5 Nov 2026

Last checked

6 Nov 2026: the application page loaded. That shows the page is up, not that HackerRank is still filling the role.

Application deadline

HackerRank has not stated one

Leaves InternDoor

By 5 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

job-boards.greenhouse.io

What we checked, and what the dates mean

LinkedIn showed this posting as new on 5 Nov 2026, but its posting number dates it to around 14 Oct 2026: LinkedIn re-posts a role it still carries, and the earlier date is the one shown here.

The date this listing leaves InternDoor is our own rule, not a deadline set by HackerRank. Postings can close earlier, at any time.

What “last checked” means: our checker opened the application page and it answered. That shows the page is up; it does not prove the role is still being filled, and HackerRank has not confirmed anything to us.

InternDoor has recorded 4 engineering postings from HackerRank in India since Oct 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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