Summary
Join Quora's Poe team as a Senior ML Engineer and contribute to building the future of the bot ecosystem. You will work on cutting-edge technology, developing Poe's bot ecosystem using state-of-the-art machine learning algorithms. Responsibilities include architecting a scalable recommender system, building high-performance NLP applications, and collaborating with the product team. This role offers an invaluable opportunity to spearhead progress in search and retrieval, LLM modeling techniques, and large-scale recommender systems. Your contributions will directly influence Poe's roadmap. Quora is a remote-first company, and this position can be performed remotely from various countries.
Requirements
- Be available for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time)
- Demonstrate professional experience in software development and machine learning
- Have a proven track record of tech leading NLP/Search models to solve industry-scale problems
- Have 4+ years of experience writing Python or C++ code
- Have experience with transformer models and LLM applications
- Hold a BS, MS, or PhD in Computer Science, Engineering, or a related technical field
Responsibilities
- Develop, design, and maintain cutting-edge applied LLM projects, including search result retrieval, recommender systems, and multi-bot agents, ensuring smooth and engaging user experiences
- Participate in various NLP activities, including refining and optimizing prompting and retrieval-augmented generation, to improve LLM outcomes
- Continuously research and stay updated on the latest developments in NLP and large language models, utilizing innovative techniques and methodologies to enhance models
- Take end-to-end ownership of large and scalable machine learning systems, from data pipelines and feature engineering to model training and integration into production systems
Preferred Qualifications
- Have 5+ years of professional experience working on natural language processing, language modeling, etc
- Have previous experience tech leading complicated end-to-end machine learning systems
- Have experience with leading large-scale multi-engineer projects
- Be a flexible and positive team player with outstanding interpersonal skills
- Have a passion for Poe's mission and goals
Benefits
- Medical/dental/vision coverage
- Equity refreshers
- Remote work reimbursement
- Paid time off
- Employee assistance programs
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