HackerRank

HQ
Mountain View
Total Offices: 4
1,053 Total Employees
Year Founded: 2012
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HackerRank Benefits Overview

Compensation + BenefitsCompany CultureWork-Life Balance + WellbeingCareer Growth + Development

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Offers charitable contribution matching

Offers accidental death & dismemberment insurance

Offers company equity

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Offers legal assistance

Provides free snacks and drinks

Offers travel concierge services

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Recently posted jobs

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HackerRank

Senior Backend Engineer

10 Hours AgoSaved
In-Office
2 Locations
HR Tech • Information Technology • Software
The Senior Backend Engineer will architect and implement backend systems, lead technical initiatives, mentor engineers, and ensure system reliability, performance, and scalability.
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HackerRank

Senior Deep Learning Research Engineer

20 Hours AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
HR Tech • Information Technology • Software
Research and develop advanced deep learning models, neural architectures, agentic AI systems, and recursive reasoning engines. Explore approaches beyond Transformers, optimize inference performance, and design rigorous evaluation frameworks. Fine-tune and distill models using techniques such as LoRA and QLoRA, then translate research into scalable, production-grade AI systems. The role requires strong mathematical foundations, research aptitude, hands-on PyTorch or JAX experience, and familiarity with distributed computing and GPU infrastructure.
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HackerRank

Deep Learning Research Engineer

YesterdaySaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
HR Tech • Information Technology • Software
Research and develop advanced deep learning models, neural architectures, agentic AI systems, and reasoning engines. Explore architectures beyond Transformers, fine-tune models with PEFT, optimize inference efficiency, and design rigorous evaluation frameworks. Translate novel research into scalable, production-grade AI systems while reproducing and extending research papers and contributing to model benchmarking, statistical validation, and low-latency deployment.
see all jobs at HackerRank