Backed by a16z.
About the role
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
What they're looking for
- 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
More about this role
[ 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.
Our Monetization team works on challenging problems every day. Our Machine Learning Engineers are tasked...
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