Quora

[ Quora is a privately held, "remote-first" company . This position can be performed remotely from anywhere in Canada or the United States. Please visit 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 : 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 : a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together. 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 (LRMs) to Large Language Models (LLMs) 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 " (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 marginali

[ Quora is a privately held, "remote-first" company . This position can be performed remotely from anywhere in Canada or the United States. Please visit 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 : 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 : a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together. 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 supporting both our Quora and Poe products. About the Team and Role: You will be a key member of the newly created Security Engineering Team, with a mission to keep Quora safe from security problems by building robust protections around our products, infrastructure and people. Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. What We're Looking For: Sweat The Right Details : you thrive in understanding the details but will also know to ruthlessly prioritize the critical issues. Right-Size The Solution : you recognize guidelines and framework do not always fit the problem and know how to adjust the solution for scalability not always at-scale. Ownership : you are outcome focused and can deftly navigate obstacles, decompose complexities, manage your time and can communicate your vision to peers and management. An Ideal Candidate Would... be a capable software engineer while also spiking in at least one of the following domain expertise: Cloud Infrastructure Security : You have hands-on experience securing large-scale cloud environments, particularly with AWS. You are passionate about building secure infrastructure-as-code (IaC) pipelines using tools like Terraform or CloudFormation. You understand IAM policies, network segmentation, and VPC design and have a thorough grasp of monitoring and logging in cloud-native environments. You are skilled in identifying misconfigurations, mitigating risks, and driving remediation processes. Bonus points if you've implemented security in Kubernetes clusters or serverless architectures. Automation and Secure Development Practices : You believe in "security as code" and are skilled at automating security processes. You can develop and integrate security tools into CI/CD pipelines to ensure secure code delivery. Tools like SAST, DAST, and dependency scanning are part of your daily toolkit, and you have experience integrating them into workflows to catch vulnerabilities early. You also advocate for secure coding practices and are skilled at mentoring teams to write resilient, secure applications. Linux/System Security : You are well versed in AWS infrastructure security but also are passionate about scalability, reliability and operational rigor. Beyond that, you know that root does not mean root and are passionate about container security, POSIX Capabilities, SECCOMP and have a favorite flavor of LSM. In your spare time, you love playing around with OSQuery and eBPF. Product Security (nice-to-have): Not a requirement, but a real plus: experience building secure web applications and APIs, with a working grasp of the OWASP Top 10 and common vulnerabilities such as XSS, CSRF, and SQL injection. It complements the infrastructure security focus of this role and helps when partnering with product teams. Responsibilities: Partner with engineering teams to review cloud and compute architecture design changes Establish threat models for cloud and compute paved roads to identify security risks Develop or adopt open-source tools to monitor and harden our cloud Infrastructure, harden our OS, develop security logging pipelines and detect intrusions Apply your expert knowledge of security best practices for AWS and Kubernetes to inform remediations and the team's control roadmap Drive the definition and implementation of security policies and monitor in conformance to the policies Write code for automations that support security requirements like threat detection, incident containment, and network access management. Conduct initial incident triage; determine scope, urgency, and potential impact of security incidents; participate in the incident response process At Quora, we value diversity and inclusivity and welcome indi