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 problems
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
Nice to haves:
5+ years of professional experience working on natural language processing, language modeling, etc.
Experience with generative AI research and applications
Shipped Gen AI/ML systems in production - AI agent, RAG, etc
Experience of transformer models and LLM applications
Flexible and positive team player with outstanding interpersonal skills
Passion for Poe's mission and goals
What You'll Be Doing:
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.
Perks and Benefits:
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits
US candidates only: For US-based applicants, the salary range is $165,604 - $252,439 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $212,374 - $258,987 CAD + equity + benefits. For all other locations in Canada, the salary range is $198,216 - $241,721 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.