Staff Machine Learning Engineer - Ads Bidding
Our Global Structure
The Team
The Problem
You will
• Own the design and execution of the CPC-to-CPO migration, including the core open question of whether the system stays CPO-facing externally while optimising CPC behind the scenes, or some hybrid of the two
• Build and improve the bidding surface: goal-based automated bidding, Target CPO, optimised CPC, and Target ROAS
• Own yield management tied to ROS targeting
• Partner daily with the DoorDash US team to align on approach across markets
• Set technical direction for the domain
Requirements
• Expertise in ad economics, marketplace bidding, or auction theory
• Direct working experience with optimised CPC, target CPO, goal-based automated bidding, and target ROAS
• Strong self-driven leadership baseline - you'll be setting direction in an ambiguous space, not executing against an established one
• 7+ years writing production code in Python; solid ML fundamentals in ranking, recommendation systems, or bidding/auction systems
• A bias for simplicity and a focus on shipping work with measurable business impact
• Strong cross-functional communication - you'll be working closely with Product, Commercial, and the wider DoorDash team
Why Join Us?
Diversity, Equity and Inclusion
Not included in the source posting: what you'll do.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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