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

Minimum Requirements:

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

Senior Machine Learning Engineer, Ads - Quora (Remote)

Responsibilities

Qualification

Preferred

Benefits

Company

Quora

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