Engineering Manager, Ads Quality

M.S., or PhD. in Computer Science or equivalent

5+ years of industry experience building production machine learning systems at scale

2+ years of leadership experience leading 6+ member teams

Strong communication skills and the ability to partner with XFN teams across product, data science and business

Experience with Ads domain or Foundation models is a big plus

Ability to guide and grow an excellent engineering team in a rapidly changing business environment

Manage a growing team of ML and backend engineers

Continue to build a team that can support end-to-end execution of ranking, retrieval, GenAI initiatives for deeply personalized promoted content.

Support a culture of analytical rigor and systems understanding.

Understand and advocate for the needs of Consumers, Advertisers and Doordash

Work closely with product managers on roadmap development, set the technical direction

Coach and mentor team members and help them develop their career path and achieve their career goals

The mission of the Ads Quality team is to show the most relevant ads and promotions to our users across all our verticals, ad formats for both search (query context) and discovery experiences. This team owns the full lifecycle of the ads delivery funnel—from large-scale retrieval to deep-learning-based ranking.

We’re looking for an Engineering Manager with hands-on experience in modern machine learning and recommendation systems to lead a team that develops advanced machine learning models to show the most engaging and relevant promoted content to the users.

Ads Quality is a critical part of the Ads Delivery funnel with deep personalization playing a central role.