Quora

www.quora.com

3 Jobs

1,222 Employees

About the Company

Quora’s mission is to grow the world’s collective intelligence. We do this by connecting people and AI to share knowledge, collaborate, and solve problems together. By reducing friction in how intelligence is shared—publicly on Quora and privately on Poe—we’re building platforms that make knowledge more accessible and accelerate learning and progress for everyone.

Quora is a global knowledge sharing platform with hundreds of millions of monthly unique visitors, connecting writers who have knowledge across millions of topics with a global audience of readers who want to learn from their collective experience.

Poe aggregates access to the best models from many different AI companies in a single chat interface across all platforms, and enables creators to build and monetize applications that use these models.
Visit quora.com/careers to browse open roles and apply online.

Quora company blog: blog.quora.com
Engineering blog: engineering.quora.com
Design blog: design.quora.com
Data blog: data.quora.com
Recruiting blog: interviewingatquora.quora.com/
Intern blog: quorainterns.quora.com

Listed Jobs

Company Name: Quora
Job Title: Software Engineer New Grad 2025-2026 - Data Infrastructure, Quora (Remote)
Job Description: **Job title** Software Engineer – Data Infrastructure (New Grad 2025‑2026) **Role Summary** New graduates will join a small, full‑stack data infrastructure team building and maintaining Quora’s core data systems. The role focuses on scalable lake and pipeline development, query engine enhancements, cost optimization, and reliability incidents. It includes mentorship and on‑call duties while working remotely. **Expectations** - Graduating in 2025 or 2026 with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field. - Availability for meetings and spontaneous communication during Quora’s coordination hours (Mon‑Fri, 9 AM‑3 PM PST). - Demonstrated curiosity for large‑scale infrastructure, scalability challenges, and capacity to learn new technologies quickly. - Willingness to own projects, propose solutions, and participate in on‑call rotation. **Key Responsibilities** - Design, implement, and maintain scalable, reliable data architectures for data lake, pipelines, and query engines (Kafka, Iceberg, Trino, Spark, Airflow). - Collaborate on team planning, prioritize initiatives, and suggest new projects to improve system effectiveness. - Analyze and reduce cost of data storage and processing while maintaining performance. - Respond to and resolve real‑time reliability incidents as part of the on‑call rotation. - Enhance and maintain developer tools and dashboards that serve data scientists, engineers, and business partners. **Required Skills** - Practical Python programming and SQL query writing. - Familiarity with distributed data processing concepts (batch, stream, fault tolerance). - Understanding of DevOps practices (CI/CD, monitoring, alerting). - Strong problem‑solving, debugging, and communication skills. - Ability to work in a fast‑moving, remote-first environment. **Required Education & Certifications** - B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field; graduation year 2025 or 2026. *Preferred (not mandatory):* prior software engineering internship, coding competition experience, or previous work with data infrastructure systems.

Canada

Remote

24-02-2026

Company Name: Quora
Job Title: AI Engineer New Grad 2025-2026 - Poe (Remote)
Job Description: **Job Title** AI Engineer – New Graduate (PoE) **Role Summary** Entry‑level AI Engineer responsible for designing, prototyping, and deploying large‑language‑model (LLM) applications within the PoE product. Works in a small, fast‑moving engineering team, collaborating across product and engineering to apply emerging AI capabilities to enhance user experience. **Expectations** - Remote worldwide; available during U.S. Pacific Time coordination hours (Mon‑Fri, 9 AM‑3 PM PT) for meetings. - Holds or is pursuing a 2025 or Summer 2026 graduate degree (B.S., M.S., or Ph.D.) in Computer Science, Engineering, or related field. - Demonstrates strong programming skills in Python or TypeScript and solid understanding of machine learning fundamentals. - Passion for continual learning and improvement of AI systems. **Key Responsibilities** - Engineer end‑to‑end AI solutions: prompt engineering, retrieval‑augmented generation (RAG), agentic workflow optimization. - Build data pipelines, model training and evaluation workflows, and deploy models at scale. - Identify opportunities to apply new AI technologies across PoE features. - Develop reusable tools and abstractions for internal developer use. - Collaborate closely with product designers to translate user needs into AI‑driven functionalities. **Required Skills** - Proficient in Python or TypeScript. - Strong software engineering fundamentals (data structures, algorithms). - Knowledge of machine learning theory and statistical methods. - Experience with transformer-based LLMs (e.g., GPT, Claude, Grok). - Familiarity with prompt engineering, RAG, and model deployment pipelines. - Excellent problem‑solving, communication, and teamwork abilities. **Required Education & Certifications** - Current enrollment or recent completion (2025/2026) of a B.S., M.S., or Ph.D. program in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical discipline.

Austin, United states

Remote

24-02-2026

Company Name: Quora
Job Title: Staff Machine Learning Engineer - Recommendations, Quora (Remote)
Job Description: Job title: Staff Machine Learning Engineer – Recommendations Role Summary: Lead end‑to‑end machine learning initiatives for Quora’s recommendation systems (feed, notifications, digest emails, A2A), advancing ranking algorithms and uncovering new product opportunities. Provide architectural guidance, tools, and abstractions for cross‑team adoption. Expectations: Deliver production‑ready ML pipelines with high impact on user engagement. Own data pipelines, feature engineering, model training, and deployment. Collaborate closely with ML and engineering teams; participate in coordination hours (Mon‑Fri 9am‑3pm PT). Lead large‑scale, multi‑engineer projects. Key Responsibilities: • Design, prototype, and deploy recommendation models that improve content relevance. • Extend existing ML systems: data ingestion, candidate extraction, feature generation, training, evaluation, and serving. • Mentor engineers, establish best practices, develop reusable tooling and abstractions. • Identify and prototype novel ML approaches for new product areas. • Work with cross‑functional teams to integrate models into production. • Monitor system performance, conduct experiments, iterate models. • Communicate findings and trade‑offs to stakeholders. Required Skills: • 5+ years professional experience in machine learning. • 3+ years on recommendation systems; deep understanding of ranking, similarity, and ranking optimization algorithms. • Strong programming (Python; C++ preferred). • Experience building end‑to‑end ML pipelines: data engineering, feature stores, training, serving. • Solid foundation in applied mathematics: linear algebra, probability, statistics, optimization. • Excellent written and verbal communication. • Team leadership / project ownership experience. Required Education & Certifications: • BS/MS/PhD in Computer Science, Engineering, or related technical field.