17 hours ago
Base Salary
$190k - $275k/yr
Responsibilities
- Develop and improve ads ranking models covering prediction objectives, feature interactions, user-history modeling, and calibration.
- Own machine learning systems end to end, including data pipelines, feature engineering, training-data construction, evaluation, training, production integration, deployment, and maintenance.
- Evaluate and apply deep learning and recommendation-modeling advances within production latency, reliability, and cost constraints.
- Collaborate with ML platform and product engineers to build scalable and efficient production machine learning systems.
- Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure advertiser, revenue, and user-relevance improvements.
- Identify new opportunities to apply machine learning across the Ads product.
Requirements
- At least 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 ownership of production improvements.
- Experience evaluating ranking models through offline analysis and online experiments, including analyzing discrepancies between model metrics and business outcomes.
- Experience using AI-assisted development tools for coding, testing, debugging, or data analysis, with judgment in validating generated code and conclusions.
- Hands-on experience building and deploying deep learning models with PyTorch or TensorFlow.
- Understanding of the mathematical foundations of machine learning algorithms.
- Strong Python programming skills and experience writing maintainable production ML code.
- Bachelor’s, master’s, or doctoral degree in computer science, engineering, or a related technical field.
- Preferred qualifications include experience with modern ranking architectures, bidding and auction dynamics, generative recommender systems, sparse or delayed conversion labels, sampling and exposure bias, cold-start users, training-serving inconsistencies, large-scale multi-engineer projects, and strong communication and leadership skills.
Benefits
- Remote-first work arrangement available from multiple countries, subject to country eligibility.
- US and Canada compensation and benefits vary by location and are provided alongside equity.
- Benefits include medical, dental, and vision coverage, equity refreshers, remote work reimbursement, paid time off, and employee assistance programs.
- Availability is expected during Quora coordination hours, Monday through Friday from 9 a.m. to 3 p.m. Pacific Time.
- Applications are accepted on an ongoing basis; the role is a backfill for an existing vacancy.
- Final candidates undergo identity verification and a comprehensive background check before onboarding.
Categories
About Quora
Quora builds a global Q&A platform where people share and discover knowledge, and Poe, a multi-model AI chat app that lets users and creators build and monetize bots. Its business model includes advertising and subscriptions such as Quora+ and Poe. Privately held, founded in 2009 and headquartered in Mountain View, California, it serves a worldwide audience with hundreds of millions of monthly visitors.