Machine Learning Engineer, Chakra

Hackerrank

Santa Clara, CA, United States
Base: $120,000 – $235,000; bonus/equity: target bo...
On-site
Agentic or conversational ai systems in production
Intuition for llm behavior breakdown
Systems thinking for conversation architecture
HackerRank is seeking a Machine Learning Engineer to develop "Chakra," an AI-powered interview system that enhances the candidate evaluation process. The ideal candidate will have experience in building conversational AI systems and will be responsible for architecting and managing the end-to-end development of this innovative technology

Job Summary

  • HackerRank's Chakra is an AI interviewer designed for a world where interviews must be as intelligent as the candidates.
  • The role involves architecting and developing the AI interviewer end-to-end, including agent design, conversation management, and report generation.
  • You will build systems to ensure interview consistency at scale and design evaluation pipelines to measure interview quality and candidate experience.

Matching Summary

Match Score: 85

HackerRank is seeking a Machine Learning Engineer to develop "Chakra," an AI-powered interview system that enhances the candidate evaluation process. The ideal candidate will have experience in building conversational AI systems and will be responsible for architecting and managing the end-to-end development of this innovative technology.

Salary

Base: $120,000 – $235,000; Bonus/Equity: Target bonus and equity included; Benefits: Not specified

Skills & Requirements

Must-have

  • Agentic or conversational AI systems in production
  • Intuition for LLM behavior breakdown
  • Systems thinking for conversation architecture
  • Full stack development for AI systems
  • High quality bar for user output

Nice-to-have

  • Multi-turn conversational agents
  • RLHF or preference-based fine-tuning
  • Dialogue systems and conversational evaluation
  • Agentic AI and LLM reliability research

Key Requirements

  • Shipped agentic or conversational AI systems
  • Experience with LLM behavior under real-world conditions
  • Experience with multi-turn conversational agents
  • Experience with RLHF, Constitutional AI
  • Background in dialogue systems

Work Rights

Not specified

Tailored Resume

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