Machine Learning Engineer Intern - Poe (Remote) at Quora

Canada

Quora Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field at a Canadian University
  • Knowledge of Python or C++, or the ability to learn them quickly
  • Knowledge of integrating and deploying LLMs
  • A passion for learning and always improving yourself and the team around you
  • Love of the Quora and/or the Poe product
  • Preferred Requirements
  • Prior software engineering internship experience with software engineering or AI systems
  • Proficiency in modern backend frameworks (e.g., FastAPI, Node.js, Django) and frontend libraries (e.g., React, Next.js)

Responsibilities

  • Participate in developing cutting-edge LLM applications including but not limited to information retrieval, search and discovery, multi-bot agents, ensuring smooth and engaging user experiences
  • Participate in a wide variety of Applied AI activities, including refining and optimizing prompting, incorporating new LLM capabilities (such as function calling, tool use, etc) to improve the outcome of LLM

Skills

Key technologies and capabilities for this role

Machine LearningAILLMsPythonDeep LearningModel Integration

Questions & Answers

Common questions about this position

Is this Machine Learning Engineer Intern position remote?

Yes, this is a remote position that can be performed from anywhere in Canada, as Quora is a remote-first company.

What is the duration of the internship?

The internship will run for 16 weeks beginning in January.

What are the main responsibilities for this intern role?

Responsibilities include participating in developing cutting-edge LLM applications such as information retrieval, search and discovery, multi-bot agents, and ensuring smooth user experiences, along with Applied AI activities like refining prompting and incorporating new LLM capabilities.

What is the company culture like for interns at Quora?

Quora fosters a culture of transparency, idea-sharing, and experimentation with passionate, collaborative teams. Interns work as equals on meaningful projects with mentorship, code reviews, weekly 1:1s, and tech talks to ensure growth and high standards.

What makes a strong candidate for this Machine Learning Engineer Intern role?

Strong candidates will contribute meaningfully to LLM and Applied AI projects, work collaboratively as equals with full-time staff, uphold high engineering standards, and be eager to grow through mentorship and feedback.

What is the compensation for this internship?

This information is not specified in the job description.

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.

Land your dream remote job 3x faster with AI