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 Claude-Opus-4.7, Nano-Banana-2, GPT-Image-2, GPT-5.5, GPT-5.5-Pro, 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 distribution team, working on recommendation systems such as feed, notifications, and Quora’s famous digest emails and A2A.
As a ranking modeling expert, you will have a unique opportunity to have high impact by advancing our ranking model and by applying latest machine learning techniques. You will also play a key role in developing methodologies that our other developers will build on top of.
Responsibilities:
- Improve our existing machine learning ranking models 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).
- 3+ years of professional experience working on recommendation 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.
Preferred Requirements:
- 5+ 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.