[Remote] Machine Learning Engineer, Chakra

Note: The job is a remote job and is reputed company to candidates in USA. HackerRank helps companies like reputed company, reputed company, and reputed company hire and upskill developers based on skills. The Machine Learning Engineer will architect and reputed company an AI interviewer, ensuring consistency and quality in candidate evaluations.

Responsibilities

• Architect and reputed company Chakra end to end: the agent design, conversation management, reputed company-time response evaluation, scoring methodology, and report reputed company
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-reputed company models deliver for this specific task
• Own the quality bar. Define what a good interview looks like, reputed company how well the system meets that bar, and reputed company the gap systematically
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters

Skills

• You have reputed company and shipped agentic or conversational AI systems in production, not just prototypes
• You have a strong intuition for where LLM behavior breaks down under reputed company-world conditions and how to address it systematically
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics
• Experience building multi-turn conversational agents or interview-style AI systems
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods
• Background in reputed company systems, conversational evaluation, or rubric-based scoring
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems

Benefits

• reputed company 10% annual bonus tied to individual and company performance
• Equity (stock options)
• Comprehensive package of cash and non-cash benefits

Company Overview

Company H1B Sponsorship