Machine Learning Engineer, Chakra
Core
Architecting and developing an AI interviewer agent that conducts conversations, evaluates candidate thinking, and generates actionable hiring reports.
Role type
Senior IC machine-learning engineer (agentic AI)
Builds
Chakra, an AI interviewer system for engineering talent assessment
Domain
AI/ML, conversational agents, hiring technology
Deliverable
production ML models
Required skills
agentic or conversational AI systems, LLM behavior under real-world conditions, systems architecture, evaluation pipelines, RLHF workflows, full-stack development
Preferred skills
multi-turn conversational agents, RLHF, Constitutional AI, preference-based fine-tuning, dialogue systems, conversational evaluation, rubric-based scoring
Technologies
LLMs, RLHF, data pipelines, model serving
Responsibilities
Architect and develop Chakra end to end, build systems for interview consistency at scale, design evaluation and benchmarking pipelines, build fine-tuning and RLHF workflows, own the quality bar, work across the full stack
Seniority
Senior, hands-on IC
