Engineer

Deliveroo

About the job
The Data & Science Org

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. For example, how do data and technology help restaurants to grow as consumer habits change? How can we predict what someone wants to order for dinner long before the idea has even crossed their mind? At Deliveroo, these are just some of the tough problems we are solving – and there is no challenge that cannot be yours. No solution is owned by a particular team, which means the scope for growth and personal impact is enormous.

The Ads ML Team

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.

What You’ll Do

Work in a cross-functional team alongside engineers, data scientists specialised in analytics and inference, and product managers to develop systems that make automated decisions at a massive scale
Use frameworks such as Tensorflow to build new and improve existing machine learning models for sponsored content recommendation, automated bidding, budget recommendation, and dynamic ad load
Automate training and inference pipeline using job orchestrating frameworks such as Argo Workflow.
Mentor and coach team members on ML engineering best practices

Requirements

A master’s degree in Computer Science, Mathematics, or a related quantitative discipline
5+ years’ experience deploying machine learning models at scale in production environments
Proficiency in writing production-quality Python code
Familiarity with Python data science and machine learning libraries, including scikit-learn, TensorFlow, Keras, pandas, numpy, and XGBoost
Thorough understanding of best practices in MLOps
Sound knowledge of the machine learning application development life cycle, encompassing CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring, and alerting
Hands-on experience in operationalising ML models and constructing ML pipelines
Proficient in exploratory data analysis, model/algorithm prototyping and selection, and model pipeline design and development
Practical experience with AWS or a comparable cloud service provider
Comfortable working with Docker and containerised applications
Familiarity with Git, GitOps practices, Argo Workflow, etc.
Familiarity with CI/CD tools such as Jenkins, CircleCI, GitHub Actions, etc.
Strong collaborative skills, able to work alongside scientists, engineers, and non-technical stakeholders
Ability to combine business acumen with the application of advanced solutions
A deep interest in staying up-to-date with the latest developments in Data Science and Machine Learning communities
A bias for simplicity and impact
Experience developing Click-Through-Rate estimation and automated bidding models

Why Deliveroo

Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. . We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.

Workplace & Benefits

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don’t hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

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