Senior Machine Learning Engineer - Ads
The Senior Machine Learning Engineer will design, build, and refine AI products and sophisticated ML models within Deliveroo's Ads ML Team. This role involves working in a cross-functional team, automating ML pipelines, and improving models for sponsored content recommendation, automated bidding, and dynamic ad load.
As a Senior Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. To thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.
This is a hybrid role that can be based in either Hyderabad or Bengaluru, with some expectations to come into the office. You will report to a Machine Learning Engineer.
At Deliveroo, we have a world-class data science organisation with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams to answer some of the most interesting questions out there. Data Scientists and ML Engineers at Deliveroo report to our data science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things.
We are part of the cross-functional Ads Tech at Deliveroo, a group of 20+ passionate engineers, scientists, and machine learning engineers who focus on building our internal Ad Platform, where our Partners can advertise their restaurants.
The Ads ML Team is responsible for recommending sponsored content on Deliveroo. The team strives to push the boundary of what's possible in this space, working on Click-Through-Rate estimation, Automated Bidding, Budget Recommendation, and Dynamic Ads Load. Apart from excelling in complex prompt engineering, there will be a focus on developing in-house models and auction simulators, deploying models in production, and improving ML model monitoring and alerting. We evaluate the performance of all our decision-making machines via robust experimentation powered by our world-class experimentation platform.
Posted June 1, 2026