Machine Learning Engineer Intern - Poe (Remote) at Quora

Canada

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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

Machine Learning

LLMs

Python

Deep Learning

Model 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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