Machine Learning Engineer developing consumer-facing AI features powered by LLMs at Quora. Collaborating with engineers and optimizing production AI systems for enhanced user engagement.
Responsibilities
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and related generative AI systems
Collaborate with engineers across the AI engineering stack — prompt engineering, agentic workflow optimization, evaluation and more
Run structured experiments (e.g., A/B tests, offline evaluations) to measure impact on engagement, quality, and trust metrics
Partner closely with product and engineering to translate user needs into scalable AI-powered solutions
Strengthen model reliability through monitoring, guardrails, quality analysis, and failure mode investigation
Optimize the latency, cost, and scalability of production AI systems
Requirements
Availability for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time)
A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
Strong understanding of mathematical foundations of Machine Learning algorithms
Experience of LLM applications or transformer models
Knowledge of Python or C++, or the ability to learn them quickly
Strong command of written English, with the ability to evaluate tone, accuracy, clarity, and nuance in written content
A passion for learning and always improving yourself and the team around you.
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