Quora

Improve and develop machine learning recommendation systems, and integrate them into production. | 5+ years in software development with expertise in machine learning, 3+ years in recommendation systems, and experience with end-to-end ML system development. | [Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. 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 over 300M 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 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, Claude Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), and more. 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: 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. As a remote-first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a significant impact on our product and our company. We are looking for an experienced Machine Learning engineer to join our growing engineering team, working on recommendation systems such as feed, notifications, and Quora’s famous digest emails and A2A. At Quora, we use machine learning in almost every part of the product and recommendation systems play an important role in connecting users with content. As a recommendation systems expert, you will have a unique opportunity to have high impact by advancing our ranking systems as well as uncovering new opportunities to apply machine learning to the Quora product. You will also play a key role in developing tools and abstractions that our other developers will build on top of. Responsibilities: Improve our existing machine learning systems using your core coding skills and ML knowledge Identify new opportunities to apply machine learning to different parts of the Quora product Work with other machine learning engineers to implement algorithms and systems efficiently Take end-to-end ownership of machine learning systems - data pipelines, candidate extraction, feature engineering, model training, as well as integration into our production systems Minimum Requirements: Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) 5+ years of professional software development experience in machine learning 3+ years of professional experience working on recommendation systems Good understanding of mathematical foundations of machine learning algorithms Previous experience building end-to-end machine learning systems. Good communication and interpersonal skills BS, MS, or PhD in Computer Science, Engineering, or a related technical field Preferred Requirements: 3+ years of experience writing Python or C++ code Experience with leading large-scale multi-engineer projects Flexible and positive team player with outstanding interpersonal skills 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. For more information on benefits, visit this link: https://www.careers.quora.com/benefits 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 $195,394 - $300,490 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $256,246 - $315,259 CAD + equity + benefits. For all other locations in Canada, the salary range is $239,163 - $294,241 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. Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team. #LI-RJ1 #LI-REMOTE

Design, develop, and implement features for Quora's ad platform, collaborating with cross-functional teams to drive revenue and user engagement. | Over 5 years of product development experience, proficiency in Python, knowledge of backend storage systems, frontend technologies, and experience with large-scale distributed systems. | [Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. 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 over 300M 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 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, Claude Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), and more. 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: Since we first launched our advertising platform, we've already grown to support thousands of advertisers who are reaching over 300 million monthly unique visitors on Quora. Today, we're working on a broad range of areas to support our data-intensive needs: metrics and insights reporting, audience targeting, low-latency real-time ad delivery, and a suite of advertiser tools to create and optimize campaigns, to name just a few. As an engineer on the Ads product team, you'll work on efforts focused on generating revenue for the success of the company and mission. As part of a highly cross-functional development team, you'll work closely with machine learning engineers, data scientists, product managers, designers, build data-intensive applications and systems to enable advertisers to reach a well-targeted audience, and ensure that our users experience ads comparable to the quality of the content they appear alongside. Responsibilities: Drive projects from ideation to production using the full technology stack Architect, design, and implement features for our mission-critical online ad platform at massive scale with data-driven iteration Identify high impact features that achieve engineering and revenue goals, and be able to explain rationale for your decisions Work with designers, fellow engineers, and data scientists to prototype and implement functionality and analyze impact Minimum Requirements: Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) 5+ years of full-time product development experience building consumer or enterprise web products (internships excluded) 2+ years of industry experience in online advertising or related area Excellent proficiency with Python or similar programming language Knowledge of backend storage systems such as MySQL, HBase, Memcached, or Redis Knowledge of frontend technologies such as React, Javascript, Typescript Experience with large-scale distributed systems Preferred Requirements: 1+ years of frontend experience with frontend technologies, such as React, Javascript, Typescript Love of the Quora products 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. For more information on benefits, visit this link: https://www.careers.quora.com/benefits 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 $179,004 - $312,588 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $234,753 - $327,951 CAD + equity + benefits. For all other locations in Canada, the salary range is $219,103 - $306,088 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. Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team. #LI-RJ1 #LI-REMOTE

Design and implement scalable data architectures, improve system cost efficiency, model structured and unstructured data, maintain high-quality code standards, and participate in oncall rotations. | 4+ years in data infrastructure, proficiency in Python and SQL, experience with big data frameworks like Hive, Spark, Trino, and operational skills including problem diagnosis and incident management. | [Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About Quora: Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products: Quora: a global knowledge sharing platform with over 400M 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 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, Claude 4.1, Grok 4, Veo 3 and more. 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: Our data infrastructure team is responsible for all things data - data lake, data pipelines, distributed query engines, experimentation framework, data dashboards and visualization tools and so on. Our data-ecosystems is composed of open source technologies like Kafka, Hive, Trino, Spark and Airflow, along with a few in-house-built systems. As a member of our team you would spend time designing and scaling our existing infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company. We are looking for someone who will be excited by the prospect of optimizing, enhancing or even re-designing our company’s data architecture/pipelines to support our next generation data initiatives. 🌟 Discover Our Team's Exciting Projects! 🌟 Join us on a journey through some of our standout achievements that showcase innovation and collaboration at Quora: 🚀 Migrating a Decade of Redshift Usages to Trino at Quora: Dive into how we transformed our data ecosystem, enhancing efficiency and performance! ⚡ Revamping the Spark Ecosystem at Quora: Explore our efforts to elevate Spark, making it more powerful and user-friendly for our engineering teams! 🎥 Adopting Trino's Fault-tolerant Execution Mode at Trino Summit 2023: Catch the highlights from our presentation at the Trino Summit, where we shared insights on building resilience in data processing! Get inspired by the impact we're making, and imagine the possibilities for your own journey with us! Responsibilities: Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs Bring your expertise to help model structured & unstructured data. Own these data models at a high level & be a data consultant for partner teams Champion best practices on system usages and hold high-quality code standards Participate in the team’s oncall rotation, helping solve timely reliability incidents Minimum Requirements: Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) Must have 4+ years of experience working in Data Infrastructure Flexibility for working and owning different Data Engineering systems. Open to working on the areas with highest priority for the company at a given time Operational mindset with ability to do Problem diagnosis, Root cause analysis, Performance tuning and Incident Management Proficiency in Python and SQL query design Proficiency with big data processing frameworks, like: Hive, Spark and Trino Experience building data-intensive applications (high velocity/high volume) Experience with SQL/NoSQL data store & data lake operations Preferred Requirements: Hands-on experience with AWS technologies like S3, EC2, RDS, EKS, or in Apache Iceberg Flexible and positive team player with good interpersonal skills 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. For more information on benefits, visit this link: https://www.careers.quora.com/benefits 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 $155,656 - $225,160 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $201,613 - $233,311 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,172 - $217,757 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. Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team. #LI-SK1 #LI-REMOTE

Lead and mentor a platform engineering team to improve developer productivity through building systems, frameworks, and tools, while aligning roadmaps with business goals. | 8+ years software engineering experience with Python and JavaScript, 2+ years managing engineers, proven ability to design scalable developer workflow systems, and strong communication skills. | [Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About Quora: Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products: • Quora: a global knowledge sharing platform with over 400M 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 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, Claude 4.1, Grok 4, Veo 3 and more. 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 Poe product. About the Team and Role: The mission of the Platform team is to enhance developer productivity by building foundational systems, frameworks, tools, and abstractions that enable product teams to deliver faster and with greater confidence. Our focus areas include testing frameworks for reliable and scalable code validation, CI/CD pipelines to streamline robust deployments, and developer environments that are easy to set up, consistent, and efficient. By eliminating friction in the development process, we empower teams to achieve faster iteration and feedback cycles. Our goal is to be a trusted partner in accelerating software delivery. As the manager of the Poe Platform Team, you will drive technical excellence, mentor engineers, and collaborate across functions to deliver high-quality solutions. You'll define team roadmaps aligned with business goals while fostering an inclusive and innovative engineering culture. Responsibilities: • Lead, mentor, and grow a high-performing platform engineering team by fostering a culture of technical excellence, collaboration, and continuous learning • Drive initiatives to improve developer velocity by streamlining workflows and reducing friction • Uphold and drive high standards for best engineering practices across Poe teams • Leverage the latest AI tools to enhance team productivity • Define and align the team’s roadmap with organizational goals • Establish processes for operational efficiency and reliability • Guide technical design discussions and long-term strategy Minimum Requirements: • Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time) • Bachelor’s Degree in Computer Science or a related technical discipline, or equivalent experience • 8+ years in software engineering with proficiency in programming languages like Python and JavaScript • 2+ years of experience managing engineers, fostering their growth and professional development • Proven experience in designing and scaling systems that enhance developer workflows, such as CI/CD pipelines, testing frameworks, and automation tools • Proven ability to manage complex projects, prioritize effectively, and deliver scalable, high-quality technical solutions on time • Exceptional ability to articulate complex technical ideas to both technical and non-technical stakeholders • A proactive mindset with a passion for tackling challenges, improving processes, and driving engineering excellence Preferred Requirements: • Hands-on experience with AI platforms, frameworks, and APIs, including integrating AI/ML solutions into engineering systems • Passion for Quora’s mission and a strong interest in advancing Poe through technical innovation • In-depth experience with modern container orchestration and infrastructure-as-code tools (e.g., Kubernetes, Docker, Terraform) • Familiarity with designing and maintaining highly scalable, reliable, and fault-tolerant systems for developer platforms • Dedication to keeping up with emerging technologies and trends in platform engineering, AI, and related fields 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. 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. For more information on benefits, visit this link: https://www.careers.quora.com/benefits 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 $183,647 - $267,615 USD + equity + benefits. • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $237,868 - $277,302 CAD + equity + benefits. For all other locations in Canada, the salary range is $222,010 - $258,816 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. Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.