data
Posted 1 weeks agoSenior Machine Learning Engineer
at HackerRank
IndiaHybrid
Responsibilities
- 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
Requirements
- Software has entered an era where humans and AI build side by side.
- The ML systems that power this platform are not auxiliary features.
- Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
- 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.
- Proficient in Python, with practical
- experience building data pipelines and deploying models to production. Even better if you have •
- Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines. LLM
- Background in adversarial ML, fraud detection, or anomaly detection.
Experience
- 4+ years building and shipping ML systems that run in production at scale.
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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