Senior Software Engineer - Machine Learning Platform, Quora (Remote)

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Internet, Biotechnology, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates should have experience in designing, developing, and maintaining core infrastructure for machine learning platforms, with a focus on scalability, reliability, and performance. Experience with distributed systems, high-performance computing, and open-source technologies like Kubernetes, TensorFlow, and PyTorch is required. Familiarity with supporting model deployment and participating in on-call rotations is also necessary.

Responsibilities

The Senior Software Engineer will build scalable and reliable distributed systems for serving machine learning models, optimize infrastructure performance, and resolve bottlenecks for large-scale machine learning workloads. They will collaborate with ML engineers to understand their needs and provide efficient solutions, contribute to the design of next-generation ML infrastructure, and develop services on top of open-source technologies. This role involves owning business-critical infrastructure, resolving production issues, and participating in the team-wide on-call rotation.

Skills

Machine Learning

ML Platform

Python

C++

Java

Scala

Kubernetes

Docker

AWS

GCP

TensorFlow

PyTorch

Scikit-learn

Data Engineering

Distributed Systems

Software Engineering

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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