The opportunity
The Ads ML team builds and maintains the machine learning models powering Deliveroo's advertising product — connecting consumers with relevant ads and helping merchants, grocers, and FMCG brands grow through the platform. The UK team is ~11 MLEs across ads and promotions, and…
What you'll do
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
Expertise in ad economics, marketplace bidding, or auction theory
What they're looking for
- 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
- + 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
