Descrizione
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side.
As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use.
We move with urgency and believe great outcomes come from high standards.
About the role
HackerRank is advancing AI-driven Technical Interviewing, assessment of Integrity, and the measurement of Engineering skill to use AI assistance effectively in the agentic era. We are looking for research-oriented M.S./Ph.D. scholars to explore and develop novel Deep Learning architectures and build efficient, trustworthy AI systems.
A key research direction is to develop a model-agnostic external Recursive Reasoning Engine that enables smaller models (SLM/SSM/Hybrid etc.) to solve complex, repository-grounded software engineering tasks with greater effectiveness, traceability, and lower inference cost. Open problems The agentic era is reshaping every layer of the hiring stack. These are some of the core problems yo
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