---
title: 'Senior Machine Learning Engineer at HackerRank Careers'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-hackerrank-careers-in-bangalore-8516hs6raxzf'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Machine Learning Engineer at HackerRank Careers

- **Company:** HackerRank Careers
- **Location:** IN Bangalore, India
- **Work type:** hybrid
- **Posted:** 2026-05-08
- **Last confirmed live:** 2026-10-19
- **Apply:** https://job-boards.greenhouse.io/hackerrank/jobs/7907962

## Job description

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

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.

Open Problems

The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.

- Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
- Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
- Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.

Your focus will shift across these depending on where the highest-leverage work is at any given time.

## What you will do

- Design and ship production ML systems across Chakra, integrity, and evaluation domains.
- Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
- Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.
- Define the architecture and production bar for different signal categories from scratch.
- Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.
- Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.

## Who you are

- 5+ years building and shipping ML systems that run in production at scale.
- Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
- Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
- Proficient in Python and Deep Learning frameworks like PyTorch/JAX.
- Have implemented Research Papers to build DNN architectures from scratch.

Even better if you have

- Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
- LLM experience: fine-tuning, RLHF, Pruning, Distillation, Knowledge Graph, Recursive Language Models, Architectures - Transformers, SSM, LNN, Hybrid etc.
- Background in adversarial ML, fraud detection, or anomaly detection.
- Publications or open-source contributions in detection, robustness, or evaluation methodology.
- Strong understanding of mathematical foundations for Deep Learning methodologies.

You will thrive here if

- Messy, undefined problems are more interesting to you than optimizing within clean ones.
- Ambiguity energizes you, especially when the right framing is itself part of the work.
- Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
- Defining what a system should be is more compelling than maintaining what already exists.

Want to learn more about HackerRank? Check out [HackerRank.com](http://hackerrank.com/) to explore our products, solutions and resources, and dive into our story and mission [here](https://www.hackerrank.com/about-us/).

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

[Linkedin](https://www.linkedin.com/company/hackerrank/) | [X](https://twitter.com/hackerrank) |https://www.linkedin.com/company/hackerrank/[Blog](https://blog.hackerrank.com/?utm_medium=email&utm_content=signature) | [Instagram](https://www.instagram.com/hackerrank?igsh=MWNid2d6aWlxYnl0OQ==) | [Life@HackerRank](https://www.instagram.com/lifeathackerrank?igsh=eDFta3owaTJsbW5x)

Notice to prospective HackerRank job applicants:

- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.

## About HackerRank Careers

## Company Overview
- **One-liner**: HackerRank is a skills-based hiring platform that helps companies assess and hire developers through coding challenges and technical interviews, while also nurturing a massive developer community focused on upskilling.
- **Entity Type**: Private (Series D, $60M led by Susquehanna Growth Equity in March 2022)
- **Headquarters**: Santa Clara, California, USA (global offices also in Bangalore, India, with remote teammates across the US, UK, and India)
- **Founded**: Not publicly available from provided sources (commonly reported as 2012)
- **Founders**: Vivek Ravisankar and Hari Karunanidhi

## Core Business
- **Primary industry**: HR tech / Talent assessment / Developer skills evaluation
- **Target customers**: B2B – companies of all sizes hiring developers; also B2C – developers seeking to improve their skills and find jobs
- **Mission or purpose statement**: “Change the world to value skills over pedigree.”

## Products & Services
- **[HackerRank Platform](https://www.hackerrank.com)**: A SaaS-based assessment platform that enables companies to screen and interview developers using coding challenges, automated evaluations, and technical interview tools. Includes a library of over 188 million skill assessment data points and supports 26M+ developers in the community.
- **[Chakra (AI Interviewer)](https://builtin.com/company/hackerrank/jobs)**: An AI-powered interviewer being developed to conduct conversational interviews, focusing on conversation management, evaluation methodologies, and quality at scale (mentioned in job postings for Machine Learning Engineer, Chakra).
- **Expanded Assessments**: Beyond software development, HackerRank is building assessments for skills in hardware, design, QA, and soft skills (e.g., for distributed teams).

## Market Standing
- **Valuation / Market Cap**: Not disclosed (last known funding round: $60M Series D in March 2022)
- **Key Metric**: Total funding of $60M+ (Series D led by Susquehanna Growth Equity); prior rounds include $3M Series A
- **Notable Investors / Partners**: Susquehanna Growth Equity (lead in Series D)
- **Growth Signals**:
  - Over 26 million developers in the community
  - 2,500+ customers
  - 172,800 daily skill assessments submitted
  - 188 million+ data points on technical skill assessments
  - Expanding into new assessment areas (machine learning, blockchain, crypto, hardware, design, QA, soft skills)
  - Developing an AI interviewer (Chakra) to scale interviews
  - 18 million+ developers in the community (as of earlier data point)

## Competitive Advantages
- **Developer skills authority**: Massive dataset of 188M+ skill assessments provides unique insights into developer capabilities.
- **Community network effects**: 26M+ developers use the platform, attracting more companies and creating a virtuous cycle.
- **Developer-first mindset**: Products are built from the perspective of enabling developers to be their best, which resonates with both candidates and hiring teams.
- **AI-powered innovation**: Chakra AI interviewer aims to automate and scale high-quality technical interviews, differentiating from traditional coding assessment platforms.
- **Brand credibility**: Trusted by thousands of companies; known for moving hiring away from resume-based pedigree toward skills-based evaluation.

## Strategic Focus
- **AI-driven assessment**: Investing heavily in Chakra, an AI interviewer that can conduct structured, high-quality interviews at scale.
- **Expanding skill coverage**: Broadening assessments beyond software development to include hardware, design, QA, and soft skills to support the needs of distributed teams.
- **Global reach**: Continuing to grow the developer community and customer base internationally, with relocation support for key roles in Santa Clara and Bangalore.
- **Data-driven hiring**: Leveraging its massive dataset to improve the accuracy and fairness of assessments.

## Why Work Here
- **Mission-driven culture**: “Change the world to value skills over pedigree” – the team is passionate about making hiring more equitable.
- **Values**: Think developer-first, be the captain (ownership), go deep, be humble, truly care.
- **Work environment**: Hybrid, on-site, and remote roles available depending on the position. Offices in Santa Clara and Bangalore, with teammates across the US, UK, and India.
- **Hiring process**: Fast – typically a few days to two weeks. Includes technical assessments, interviews with the hiring manager and future teammates, and a HackerValues interview. Relocation support provided for in-office roles.
- **Benefits**: Competitive pay and meaningful equity, health coverage for you and family, retirement plans by region, flexible paid time off, home office/remote work stipends, mental health and well-being support, annual learning and growth budget, referral bonuses.
- **Engineering culture**: High bar for quality, speed and quality are not trade-offs; focus on craft and impact. Teams work on cutting-edge AI and large-scale data systems.
- **Growth opportunities**: Fast-growing company with active roles in machine learning, data engineering, security, product management, and customer success.

## Sources
1. [hackerrank.com/careers/home](https://www.hackerrank.com/careers/home)
2. [hackerrank.com/about-us](https://www.hackerrank.com/about-us)
3. [linkedin.com/company/hackerrank](https://www.linkedin.com/company/hackerrank)
4. [builtin.com/company/hackerrank/jobs](https://builtin.com/company/hackerrank/jobs)
5. [builtin.com/company/hackerrank/faq/workplace-perception](https://builtin.com/company/hackerrank/faq/workplace-perception)

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