Quora

Staff Machine Learning Engineer - Poe (Remote)

United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Data & AnalyticsIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: (Salary information not provided)

Quora is a "remote-first" company offering this position remotely from multiple countries. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.

Quora’s mission is to grow and share the world’s knowledge. They operate two knowledge-sharing products: Quora (a global platform with over 400M monthly unique visitors) and Poe (a platform integrating AI language models like GPT-4, Claude 3, Gemini Pro, and DALL-E 3). The role focuses on building Poe’s bot ecosystem. This is an opportunity to contribute to a rapidly growing platform and make a significant impact.

Requirements

  • Passion for search and retrieval
  • Understanding of emerging LLM modeling techniques
  • Experience with recommender systems at scale
  • Experience with NLP activities (prompting, retrieval-augmented generation, etc.)
  • Ability to take end-to-end ownership of large and scalable machine learning systems

Responsibilities

  • Develop, design, and maintain cutting-edge applied LLM projects, including search result retrieval, recommender systems, and multi-bot agents.
  • Participate in NLP activities to improve LLM outcomes.
  • Continuously research and stay up-to-date with the latest developments in NLP and large language models.
  • Own the entire lifecycle of large, scalable machine learning systems – from data pipelines to production integration.

Application Instructions

  • (Application instructions not provided)

Company Information

  • Company: Quora
  • Mission: To grow and share the world’s knowledge.
  • Products: Quora and Poe (an AI language model platform).

Skills

search
retrieval
LLM modeling
recommender systems
NLP
prompting
retrieval-augmented generation
data pipelines
production integration

Quora

Global knowledge sharing and AI integration platform

About Quora

Quora is a global platform for knowledge sharing that attracts over 400 million unique visitors each month. It allows users to share insights on a wide variety of topics, creating a community focused on learning and connection. Users include individuals looking for information, experts sharing their knowledge, and businesses engaging with a knowledgeable audience. Quora also features Poe, a platform that combines several AI language models like GPT-4 and DALL-E 3, enabling users to chat and explore these technologies in one place. Unlike many competitors, Quora's business model relies on targeted advertising to its large user base, allowing it to continuously expand its offerings to meet user needs.

Mountain View, CaliforniaHeadquarters
2009Year Founded
$351.2MTotal Funding
LATE_VCCompany Stage
Consumer Software, AI & Machine Learning, EducationIndustries
1,001-5,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Company Equity
Remote Work Options
Unlimited Paid Time Off
Mental Health Support

Risks

Increased competition from Reddit and Stack Exchange could dilute Quora's user base.
AI-generated content may lead to misinformation without proper oversight.
Privacy concerns over data collection for ads could lead to regulatory scrutiny.

Differentiation

Quora integrates AI models like GPT-4 and DALL-E 3 through its Poe platform.
Quora's Writing Sessions offer a unique alternative to Reddit's AMA for expert Q&A.
Quora's partnership with Bombora enhances B2B audience targeting for advertisers.

Upsides

Quora attracts over 400 million unique visitors monthly, boosting its advertising potential.
AI-driven content moderation can improve user experience by reducing misinformation.
Personalized learning experiences through AI can enhance user retention and satisfaction.

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