[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.]
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.
Quora's Security team is responsible for protecting the company's most critical assets from both external threats and insider risks. We're a small, high-ownership team with a pragmatic, builder-oriented approach: we build where commercial solutions don't fit, leverage AI to work efficiently at scale, and move fast to stay ahead of real-world threats.
We're looking for a Detection & Corporate Security Engineer to strengthen both our preventative and detection capabilities across corporate and production environments. This is a genuinely hybrid role: you'll build and maintain detection systems while also owning the corporate security controls that protect our employee fleet and internal infrastructure. You'll work closely with our IT team, collaborate with existing security engineers on production-side coverage, and serve as a trusted security advisor to non-technical teams across the organization.
Build and maintain a SIEM to collect and analyze logs from across corporate and production systems; write and deploy detections and alerts to identify malicious behavior
Design and deploy canary tokens and early warning mechanisms to detect threats before they reach critical assets
Investigate security incidents end-to-end — including malware analysis, exfiltration assessment, and timeline reconstruction — and build runbooks to scale response capabilities
Partner with IT to define and enforce security standards across the employee device fleet, including endpoint protection, managed device requirements, OS compliance, and VPN access controls
Drive the PoC and implementation of Zero-Trust VPN and other corporate security infrastructure
Provide security guidance and advisory support to non-engineering functions across the organization
Availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time)
5+ years of experience in security engineering, detection engineering, or a closely related field
Hands-on experience building or maintaining SIEM infrastructure and writing detection rules
Experience with endpoint security tools (e.g. CrowdStrike or similar EDR platforms)
Strong Python engineering skills with a track record of writing production code reviewed and shipped alongside software engineering teams
Experience conducting security incident investigations, including malware analysis, log review, and timeline reconstruction and threat modeling
Experience with corporate security controls, identity management, endpoint protection, and access control enforcement
Experience with SIEM/SOAR options such as Elastic/Splunk or alternatives
Familiarity with identity platforms such as Okta
Strong understanding of authentication technology such as OAuth, Yubikey and Passkey
Experience with Zero-Trust network architecture or VPN implementation
Demonstrated use of AI coding tools to build or automate security workflows
Experience in a small security team or fast-paced startup environment
Familiarity with AWS and cloud-native security tooling
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.
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.
There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $172,279 - $249,640 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $220,272 - $255,347 CAD + equity + benefits. For all other locations in Canada, the salary range is $205,587 - $238,324 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-JC1
#LI-REMOTE
[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.]
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.
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.
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.
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.
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 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.
Successful candidates must have availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time).
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.
There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $172,279 - $249,640 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $221,209 - $256,433 CAD + equity + benefits. For all other locations in Canada, the salary range is $206,461 - $239,337 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-JC1
#LI-REMOTE
[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.]
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.
The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our sophisticated experimentation processes to the backgrounds of our leaders. With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and help advance our culture of rational decision making.
As a member of our team, you'll work closely with product managers, product designers, engineers, and other cross-functional partners to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities across Quora. Quora has a wide range of rich data, giving you ample room for exploration and creativity.
Data scientists at Quora work across multiple domains, including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy. Example projects include modeling long-term growth, improving the relevance and personalization of the homepage feed, analyzing drivers of user engagement and question-asking behavior, optimizing marketplace efficiency, and evaluating the effectiveness of monetization initiatives.
Own ambiguous, high-impact problem spaces across product and business domains, from question framing, to devising and conducting the analysis, to developing and implementing solutions with cross-functional partners
Partner with cross-functional stakeholders and company leadership to shape product strategy and anticipate future challenges
Design and evaluate experiments to measure the impact of product and strategic changes
Analyze data from across the product to uncover root causes of metric movements
Develop tools, methodologies, and frameworks that help make both the data team and the company as a whole smarter about data
Multiply the impact of other data scientists through mentorship and instilling industry best practices across the team
Availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time)
7+ years work experience in an analytical or quantitative role, including 5+ as a Data Scientist or similar title, with a track record of success at a senior or staff level of scope and autonomy
Demonstrated ability to tackle difficult data questions that few others could have taken on, such as those requiring deep ownership of a product area and/or leading cross-functional and cross-team efforts
Expertise with statistical techniques (e.g. regression, hypothesis testing, causal inference) and their practical application
Experience mentoring other data scientists and raising team standards through best practices and process improvements
Effective communication skills, including the ability to translate ambiguous business needs into analytical questions and to explain technical results to executives and cross-functional partners
Extensive experience using a procedural programming language (e.g. Python, R) for data manipulation, modeling, and analysis; comfort working in a production codebase
Strong judgment that blends quantitative rigor with product intuition and common sense
2+ years of experience evaluating recommender systems in offline analysis and online experiments
Experience setting technical direction or strategy for a team or major workstream
Experience with large data sets and distributed computing tools (e.g. Presto/Trino)
Active Quora user with curiosity about the product
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.
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 compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $163,560 - $240,092 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $210,013 - $246,625 CAD + equity + benefits. For all other locations in Canada, the salary range is $196,012 - $230,183 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-SS2
#LI-REMOTE
[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.]
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.
Our Monetization team works on challenging problems every day. Our Machine Learning Engineers are tasked with optimizing the advertising product at Quora, and the team covers the entire Machine Learning Ads lifecycle from end-to-end, including ads targeting, ranking and auction dynamics, and quality measurement. Ingrained in our culture is the desire to constantly learn and improve, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. As a remote-first company, our engineers have a high degree of flexibility and autonomy, and everyone on the engineering team has a huge impact on our product, revenue and company.
Since we first launched our advertising platform, we've grown to support thousands of advertisers who are reaching over 300 million+ monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. We are looking for an experienced Machine Learning Engineer to join the Ads ML team as an ads ranking specialist. You will improve CTR and CVR prediction, model calibration, user and ad representations, and user-sequence modeling, translating improvements in ranking quality into measurable advertiser value, revenue, and better user experiences. This is a small, close-knit team where you own problems end-to-end — research, data, modeling, deployment and maintenance — and where your work has a direct line to the company's top line.
Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration
Take end to end ownership of machine learning systems - from data pipelines, feature engineering, training-data construction and model evaluation, model training, as well as integration into our production systems
Evaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production latency, reliability, and cost constraints
Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment
Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure improvements in advertiser performance, revenue, and user relevance
Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers
Availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time)
4+ years of professional software development experience in machine learning
Hands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration, with demonstrated ownership of production improvements
Experience evaluating ranking models through offline analysis and online experiments, including investigating discrepancies between model metrics and business outcomes
Experience using AI-assisted development tools for coding, testing, debugging, or data analysis, with sound judgment in validating generated code and conclusions
Hands-on experience building and deploying deep learning models with PyTorch or TensorFlow
Good understanding of mathematical foundations of machine learning algorithms
Strong Python programming skills and experience writing maintainable production ML code. proficient coding ability writing Python
BS, MS or PhD in Computer Science, Engineering or a related technical field
Experience with modern ranking architectures, such as feature interaction networks, attention-based user-sequence models, and multi-task learning
Understanding of how ranking predictions and calibration interact with bidding and auctions to affect ad delivery and advertiser outcomes
Experience with leading large-scale multi-engineer projects
Experience addressing ranking challenges such as sparse or delayed conversion labels, sampling and exposure bias, cold-start users, or training-serving inconsistencies
Experience with generative recommender systems
Effective communicator with strong leadership 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.
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 compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $189,507 - $274,604 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $243,330 - $282,076 CAD + equity + benefits. For all other locations in Canada, the salary range is $227,108 - $263,271 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-JC1
#LI-REMOTE
[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.]
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.
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://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
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
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
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.
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 compensation, 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.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-SS2
#LI-REMOTE
[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.]
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.
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 distribution team, working on recommendation systems such as feed, notifications, and Quora's famous digest emails. 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 ranking modeling expert, you will own and advance the second-phase ranking model behind feed and digest, one of the highest-leverage surfaces at Quora, by applying the latest machine learning techniques. You will also play a key role in developing methodologies that our other developers will build on top of.
Improve our existing machine learning ranking models using your core coding skills and ML knowledge
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
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
Availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time)
3+ years of professional experience working on recommendation or ranking models
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
5+ years of experience writing Python or C++ code
Experience with generative recommendation systems
Experience with user behavior or user sequence modeling, transformers, or long sequence modeling applied to ranking
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.
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 compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $189,507 - $274,604 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $243,330 - $282,076 CAD + equity + benefits. For all other locations in Canada, the salary range is $227,108 - $263,271 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-SS2
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[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.]
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.
Our product managers excel at and are responsible for guiding, enabling, and accelerating the efforts of our designers, engineers, and data scientists to build and ship successful products. Even though we've experienced significant growth, we're still a small team where each PM needs to own a significant portion of the product experience, so in this role, you'll have the opportunity to drive company-level impact, influence overall company strategy, and interface regularly with product leadership and the executive team.
We're looking for a Product Manager to lead user-centric growth initiatives across Quora's core product experience, focused on expanding our top-of-funnel acquisition, improving activation, and unlocking new growth levers across web and mobile. This includes crafting engaging user experiences, running a high-velocity experimentation program, aligning cross-functional teams, and generating user insights that inform long-term platform strategy.
Own the end-to-end user growth funnel, with a focus on top-of-funnel acquisition, activation, and early retention across web and mobile surfaces
Deeply understand users both on and off the platform and build engaging experiences that expand Quora’s reach to new demographics
Manage ambiguity, complexity, and cross-functional interdependencies in a fast-paced environment, doing what it takes to make the product successful
Partner closely with engineering, design, data science, and product operations to define, build, iterate, and ship high-quality growth experiences at scale
Define objectives, metrics, and guardrails to guide prioritization and measure success
Run structured experimentation across the funnel, using quantitative and qualitative insights to inform product strategy and roadmap
Monitor and analyze industry and product trends to identify new strategic growth levers that drive user growth, audience expansion, and product retention
Availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time)
5+ years combined experience in Product Management
Demonstrated experience driving user growth on a consumer product, with a track record of measurable impact on acquisition, activation, or retention metrics
Excellent communication skills and intuition for communication strategy at every level -- within teams, within the company, to users, and other audiences
Demonstrated ability to use qualitative and quantitative data to drive decisions and scale products through experimentation
Strong foundation in user research and design principles, with a track record of leveraging insights to launch winning user experiences
Experience working on user-generated content (UGC) platforms, marketplaces, aggregators, or content-driven consumer products
Experience growing UGC products with heavy SEO traffic and a strong understanding of organic search as an acquisition channel
BA/BS degree in a related field or equivalent practical experience
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.
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.
There are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $166,328 - $256,660 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $213,567 - $263,644 CAD + equity + benefits. For all other locations in Canada, the salary range is $199,329 - $246,068 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash..
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-HB1
#LI-REMOTE
[Quora is a privately held, \"remote-first\" company. This position can be performed remotely from anywhere in the US or Canada. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]
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.
Our ML team is small and highly collaborative, working on challenging problems that impact hundreds of millions of Quora users. We encourage engineers to think big, experiment with new ideas, and continuously learn and improve. With over 100 ML models in production, engineers have opportunities to take ownership of meaningful projects, work closely with experienced teammates, and quickly see the impact of their work.
We're building the next generation of AI-powered systems to improve content quality and safety across Quora. By leveraging LLMs and agentic workflows, we're transforming how we detect harmful content, automate complex decisions, and respond to evolving challenges at scale. As a Machine Learning Engineer (New Grad), you'll work alongside experienced engineers to design, evaluate, and deploy these systems in production.
No previous trust and safety experience is required. You'll learn from the engineers who built these systems.
Stack: Python, PyTorch, TensorFlow, Spark, Kubernetes
Design, build, and deploy LLM-powered agents to detect and address spam, harassment, and other policy-violating content at Quora's scale
Develop agentic workflows to automate complex tasks, improving the efficiency and effectiveness of our content and user moderation systems
Design and improve ML systems that adapt to evolving abuse patterns and new challenges
Evaluate agent performance through offline evaluations, online experiments, and production monitoring, balancing accuracy, reliability, latency, and cost
Investigate failure cases, experiment with new approaches, and iterate on solutions to improve system performance
Identify new opportunities to apply ML and LLMs to content quality and safety across Quora
Collaborate with experienced engineers and take ownership of projects from early development through production
Availability for meetings and impromptu communication during Quora's “coordination hours\" (Mon-Fri: 9am-3pm Pacific Time)
B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field, completed or in progress
Strong understanding of mathematical foundations of Machine Learning algorithms
Coursework, research, or project experience with LLM applications or transformer models
Strong knowledge of Python
A passion for learning and always improving yourself and the team around you
Able to start full-time in early 2027
Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
Hands-on experience building and evaluating LLM agents, in projects, research, internships, or production
Regular use of AI coding tools such as Claude Code or Codex
Coursework or projects in natural language processing (NLP)
Genuine interest in content safety and quality
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.
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 compensation, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $107,360 - $152,900 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $137,852 - $157,061 CAD + equity + benefits. For all other locations in Canada, the salary range is $128,661 - $146,590 CAD + equity + benefits.
In equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.
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://careers.quora.com/quora-global-job-applicant-privacy-notice
#LI-JC1
#LI-REMOTE