Senior AI Engineer, Quora

• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
• 4+ years of experience writing Python
• Strong foundation in data structures, ML algorithms, and software engineering principles
• Proven track record of tech leading NLP/Search models to solve industry-scale problem
• Proven track of strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Deep understanding of large language model APIs, prompt engineering, and LLM workflow design
• Comfortability taking projects from zero to one and owning the entire lifecycle, with a proactive approach to challenges
• Previous experience tech leading complicated end to end machine learning systems
• Experience with leading large-scale multi-engineer projects
• BS, MS or PhD in Computer Science, Engineering or a related technical field

Desirable

• We are seeking a talented AI Engineer to join us in building Poe, an exciting new platform at the forefront of AI
• This role will be working on our Poe product
• You will work at the cutting edge of technology to develop the Poe’s bot eco system with state of art AI algorithms as well as applications
• This includes architecting performant and reliable and performant vibe coding applications, designing and building a scalable LLM model evaluation, and collaborating with our product team to build various personalized AI-driven user features
• Poe has experienced awesome growth so far, and as an AI Engineer for Poe, you can build the future of the bot ecosystem while gaining invaluable experience with complex problems
• Your contributions will have a direct influence on the Poe’s roadmap
• If you have a passion for applied AI , this role offers an invaluable opportunity to spearhead progress
• Be responsible for developing, designing, and maintaining cutting-edge applied LLM projects including but not limited to search result retrieval, recommender systems and multi-bot agents, ensuring smooth and engaging user experiences
• Participate in a wide variety of Applied AI activities, including refining and optimizing prompting, retrieval-augmented generation, etc to improve the outcome of LLM
• Continuously research and stay up-to-date with the latest developments in AI and large language models, utilizing innovative techniques and methodologies to enhance our models
• Take end to end ownership of large and scalable machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems

• We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy
• Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team