Responsibilities
- Create and enhance ads ranking models, covering prediction targets, feature interactions, user history modeling, and calibration.
- Assume complete responsibility for machine learning systems, including data pipelines, feature engineering, training data creation, model evaluation, model training, and production integration.
- Assess and implement advancements in deep learning and recommendation modeling to boost ads ranking while adhering to production latency, reliability, and cost limits.
- Work with ML platform and product engineers to develop scalable and efficient machine learning systems in production.
- Collaborate with product, data science, and engineering teams to define ranking goals, design A/B experiments, and measure improvements in advertiser performance, revenue, and user relevance.
- Identify fresh opportunities to apply machine learning across the Ads product to deliver value for users and advertisers.
Benefits
- Medical, dental, and vision coverage
- Equity refreshers
- Remote work reimbursement
- Paid time off
- Employee assistance programs
- Equity
- Country-specific benefits that may vary
Compensation
Not specified
Work Arrangement
Remote (Worldwide) — remote from multiple countries around the world
Team
Not specified
Other
- We are accepting applications on an ongoing basis.
- This role is a backfill for an existing vacancy.
- 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://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
Not specified
