Senior AI Engineer, Poe

Job not on LinkedIn

August 20

Apply Now
Logo of Quora

Quora

Media • Education • Artificial Intelligence

Quora is a global knowledge sharing platform that enables over 400 million monthly unique users to connect and share insights on a wide range of topics. Its mission is to democratize access to human knowledge trapped in people's experiences or buried in books and papers. By providing a platform for learning, sharing, and community engagement, Quora aims to enhance the collective knowledge of the world. The company also offers Poe, a feature that allows users to ask questions and engage in back-and-forth conversations with artificial intelligence.

201 - 500 employees

Founded 2009

📱 Media

📚 Education

🤖 Artificial Intelligence

💰 $85M Series D on 2017-04

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• medical/dental/vision coverage • equity refreshers • remote work reimbursement • paid time off • employee assistance programs • and more

Apply Now
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com