---
title: 'Software Engineer, Machine Learning Platform, New Grad - Quora (Remote) at Quora'
canonical: 'https://feeny.ai/job/software-engineer-machine-learning-platform-new-grad-quora-remote-quora-4ydqk0jyy8se'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineer, Machine Learning Platform, New Grad - Quora (Remote) at Quora

- **Company:** Quora
- **Location:** Multiple Locations
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/quora/452afc2e-0c79-41f8-8201-1aab7df775db

## Job description

[Quora is a privately held, "remote-first" company https://www.quora.com/q/quora/Remote-First-at-Quora. This position can be performed remotely from anywhere in Canada or the United States. Please visit careers.quora.com/eligible-countries http://careers.quora.com/eligible-countries for details regarding employment eligibility by country.]

## ABOUT QUORA:

Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:

- Quora http://quora.com: a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
- Poe https://poe.com/: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Grok-4.6, Kimi-K3, and thousands of others. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Quora product.

## ABOUT THE TEAM AND ROLE:

Machine Learning is central to Quora's mission of growing the world's collective intelligence. We have 100+ Machine Learning models in production powering various product features. We use a variety of algorithms — everything from linear models to decision trees and deep neural networks. Our production models operate at a huge scale, serving hundreds of millions of people using Quora every month.

Our team owns Quora's ML platform and ranking infrastructure across four areas: serving reliability, ML engineer enablement and developer velocity, business impact, and cost efficiency. We want to empower all ML engineers at Quora to be as impactful as they can be in solving different ML problems at scale.

As a Software Engineer (New Grad) on this team, you'll work at the intersection of Machine Learning, Distributed Systems, and GPU Serving performance — and your work will have an enormous impact on Quora's long-term success.

No previous ML infrastructure experience is required for this role. You'll be joining a team of senior and staff engineers, learning this stack from the people who built it, with a dedicated mentor and strong technical guidance — and you'll be shipping to production in your first few weeks.

Stack: Python, Go, C++, PyTorch, Kubernetes/EKS, NVIDIA Triton, Ray, AWS

🚀 Excited to see our MLP team's amazing work in action? Check out some of the incredible projects they've completed below! 👇✨

- https://quoraengineering.quora.com/Migrating-from-x86-to-AWS-Graviton-A-Journey-in-Cost-Optimization-and-Performance
- https://aws.amazon.com/blogs/containers/quora-3x-faster-machine-learning-25-lower-costs-with-nvidia-triton-on-amazon-eks/
- https://quoraengineering.quora.com/Building-a-Service-Mesh-in-a-Hybrid-Environment
- https://quoraengineering.quora.com/Building-Embedding-Search-at-Quora
- https://quoraengineering.quora.com/Feature-Engineering-at-Quora-with-Alchemy

## RESPONSIBILITIES:

- Help build and maintain the core infrastructure that powers Quora's ML platform, ensuring high availability, scalability, and performance
- Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRM) to Large Language Models (LLM)
- Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models
- Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization
- Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently
- Modernize our feature store so ML engineers can get new features into production faster
- Participate in the team's on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform

## MINIMUM REQUIREMENTS:

- Availability for meetings and impromptu communication during Quora's "coordination hours https://quora.com/coordination_hours" (Mon-Fri: 9am-3pm Pacific Time)
- A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
- Genuine interest in large-scale distributed systems, infrastructure, and machine learning
- Knowledge of Python, Go or C++, or the ability to learn them quickly
- A passion for learning and always improving yourself and the team around you

## PREFERRED REQUIREMENTS:

- Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
- Coursework or hands-on experience with ML frameworks such as PyTorch or TensorFlow
- Exposure to Kubernetes, Docker, or cloud technologies like AWS
- Experience with low-level performance work of any kind: profiling, benchmarking, optimization
- Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

## ADDITIONAL INFORMATION:

We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

- US candidates only: For US based applicants, the salary range is $97,600 - $139,000 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $125,320 - $142,783 CAD + equity + benefits. For all other locations in Canada, the salary range is $116,965 - $133,264 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.

To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.

Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice

## #LI-SS2

## #LI-REMOTE

## About Quora

## Company Overview
- **One-liner**: Quora operates two platforms—a global knowledge-sharing Q&A site (Quora) and Poe, a hub for interacting with and building on cutting-edge AI models—to accelerate humanity’s collective intelligence.  
- **Entity Type**: Private (known valuation ~$2B, total funding $361.1M)  
- **Headquarters**: Mountain View, California, United States  
- **Founded**: 2009  
- **Founders**: Adam D’Angelo, Charlie Cheever  

## Core Business
- **Primary industries**: Knowledge-sharing / social Q&A, artificial intelligence (AI chatbot platform)  
- **Target customers**: B2C (300M+ monthly users on Quora, millions on Poe); also serves creators who build and monetize AI applications on Poe  
- **Mission / purpose**: “Grow the world's collective intelligence” by building platforms that enable knowledge sharing among humans (Quora) and collaboration between humans and AI (Poe).

## Products & Services
- **Quora** – A social question-and-answer website and online knowledge market where users ask questions, provide answers, and engage in topic-based communities. Available in 24 languages.  
- **Poe (Platform for Open Exploration)** – A chat interface that aggregates AI models from multiple providers, allowing users to chat with various bots and enabling creators to build and monetize AI-powered applications.

## Market Standing
- **Valuation / Market Cap**: Approximately $2 billion (per LinkedIn, as of 2025–2026)  
- **Key Metrics**:  
  - Annual Revenue: ~$20 million (LinkedIn, 2025)  
  - Total Funding: $361.1 million across 6 rounds (LinkedIn)  
  - Monthly Active Users: 300 million (Quora platform)  
- **Notable Investors / Partners**: Not explicitly detailed in provided sources, but the company has raised significant venture funding (names not listed in the search results).  
- **Growth Signals**:  
  - Launch of Poe in 2023, expanding into the AI sector  
  - 300M+ monthly users on Quora; Poe serves millions of users worldwide  
  - Employee counts reported vary: 240 employees (Built In, likely US-focused) vs 727 employees with -5% YoY change (LinkedIn global headcount) – conflicting reports, both cited  

## Competitive Advantages
- **Massive, engaged user base** (300M+ monthly) and strong brand recognition in Q&A  
- **Dual-platform strategy** combining human knowledge (Quora) with AI-powered interaction (Poe)  
- **Remote-first culture** (adopted in 2020) enabling global talent acquisition across North America, Europe, Africa, and Asia  
- **Flat organizational structure** with transparent decision-making and meritocratic values  

## Strategic Focus
- Continue to grow the Quora knowledge-sharing community while scaling Poe as the “multi-model AI hub” for both consumers and creators  
- Emphasize “mission first” and long-term impact, investing in AI capabilities to remove friction in knowledge diffusion  
- Maintain a fully remote, globally distributed team to attract top talent regardless of location  

## Why Work Here
- **Remote-first**: 100% remote with flexible schedules; coordination hours (9 am–3 pm PT) ensure cross-time-zone collaboration  
- **Culture**: Values transparency, awareness, agility, pragmatism, and drive; mission-driven environment where impact is celebrated  
- **Benefits**: Generous PTO, home-office & wellness stipend, coworking space program, equity, comprehensive medical plans, paid parental leave, training budgets, and a winter shutdown  
- **Engineering culture**: Heavy use of Python, C++, React, TypeScript, GraphQL, Kubernetes, AWS, TensorFlow; emphasis on experimentation and iterative development  
- **Global team**: Employees in offices (Mountain View, Vancouver, Seoul) and remote across multiple continents

## Sources
1. [Quora Careers](https://careers.quora.com/)  
2. [Quora Careers – Company & Values](https://careers.quora.com/company)  
3. [Built In – Quora Profile](https://builtin.com/company/quora)  
4. [LinkedIn – Quora Company Page](https://www.linkedin.com/company/quora)

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