Senior Machine Learning Engineer (AI Interviewer, Integrity and Skill Evaluation) at HackerRank, Bengaluru
Job Description
HackerRank, the technical hiring platform, is hiring a senior machine learning engineer in Bengaluru (hybrid). The posting frames the work as open problems: Chakra, an autonomous AI interviewer that runs and scores technical interviews; integrity, detecting fraud and suspicious behaviour across several signal types as cheating tactics change; and evaluation, measuring technical skill when AI writes much of the code. The engineer moves between these as priorities shift.
At a glance
- Role: Senior Machine Learning Engineer
- Location: Bengaluru, India (hybrid)
- Experience: 4+ years shipping ML in production
- Focus: AI interviewer, fraud detection, skill evaluation
- Posted: 8 May 2026
- Apply: open until filled (re-checked 13 October 2026)
About the ML engineer role
- Design and ship production ML systems for the AI interviewer, integrity and evaluation areas
- Own the ML lifecycle: problem framing, data strategy, experiments, deployment and iteration
- Build evaluation infrastructure and benchmarks that measure model quality before and after release
- Set architecture and production standards for new signal types from scratch
- Mentor junior ML engineers and set team practices for monitoring and feedback loops
Working style
The posting says the role suits people who prefer messy, undefined problems, like direct access to leadership and fast feedback, and would rather define what a system should be than maintain an existing one.
What HackerRank is looking for
- At least 4 years building and shipping ML systems in production at scale
- Systems thinking across model accuracy, data pipelines, serving and customer outcomes
- Care for evaluation methodology as much as model performance
- Strong Python, with data pipelines and model deployment experience
Nice to have
- Multimodal systems: vision, NLP, audio or behavioural signals
- LLM fine-tuning, RLHF or multi-turn agentic systems
- Adversarial ML, fraud detection or anomaly detection
- Publications or open-source work on detection, robustness or evaluation
Pay and location
HackerRank’s posting does not state a salary. The role is hybrid, based in Bengaluru.
How to apply
Apply through the official HackerRank job posting. HackerRank’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: HackerRank
Official advertisement: job-boards.greenhouse.io
How to prepare for this application
- Evaluation first: the posting says a wrongly measured metric is worse than none; prepare an example where you fixed a metric.
- Adversaries: discuss how you would keep a cheating detector working as behaviour changes.
- Agents: think about how an AI interviewer should adapt questions and how you would test that it is fair.
- Ownership: the team wants people who define new systems; bring a 0-to-1 story.
- Research counts: link papers or open-source code in detection, robustness or evaluation if you have them.
About HackerRank
HackerRank runs a platform that companies use to assess and hire developers on skills. The posting says more than 2,500 companies use it, including NVIDIA, Amazon and Microsoft, and that its ML systems are the product rather than side features.
