data
Posted 1 weeks agoMachine Learning Engineer, Integrity
at HackerRank
IndiaHybrid
Responsibilities
- Build the evaluation infrastructure, golden datasets, and benchmarking pipelines that give us and our customers genuine confidence in what we ship
- Own the performance improvement strategy for each signal.
- Define the ML strategy for new signals from scratch: audio analysis, gaze tracking, behavioral anomalies.
- Continuously monitor how assessment fraud tooling is evolving. Evaluate new models as they emerge. Know when to abandon a strategy that is no longer moving the needle
- Drive strategy-level decisions: which new signals to build, whether to use models at all, and what the evidence says Who you are
Requirements
- Software has entered an era where humans and AI build side by side.
- Integrity isn't about whether you use AI or not; it's about whether you are following the rules.
- What is needed is calibrated uncertainty at the signal level, a principled way to weight evidence depending on conditions, and the ability to detect when a signal has drifted out of its reliable operating range.
- You have shipped ML systems in production that real users and real businesses depend on
- Experience with multimodal systems in production: vision, audio, or behavioral signal pipelines
- Background in adversarial ML or fraud/anomaly detection
- experience defining what production-ready means for a new signal category from scratch You will thrive in this role if
Benefits
- Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences.
Contact
- Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here .
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