Machine Learning Engineer
2 weeks ago
The Data & Science Org
At Deliveroo, we have a world-class data and science organisation with a mission to enable the highest quality human and machine decision-making.
For example, how can we connect restaurants, riders and customers most efficiently in order to deliver food as quickly as possible? How do data and technology help restaurants to grow as consumer habits change? As a Machine Learning Engineer, you will play a crucial role in the development, implementation and maintenance of cutting-edge machine learning products. Your responsibilities will involve engineering sophisticated machine learning models, as well as refining and updating existing systems.
In this team, you will develop the algorithmic and machine-learning systems that power Deliveroo's delivery network. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at massive scale. Optimise our delivery network by making rider assignment decisions; Enhance our simulation capabilities to more accurately predict the effects of algorithmic changes on our delivery network.
# Detecting fraud and abuse from consumers, riders, and restaurants.
# Creating an ML platform to improve our ML and optimisation capabilities.
You will report into a ML/OR Manager. This is a hybrid role that will be based in London.
You are someone who knows the fundamentals of machine learning and operational research and when they should be applied through a relevant PhD or work experience.
# Experience in programming, where the work involves programming with Python, Rust and Go.
# Experience in solving Vehicle Routing Problems (VRP) and/or building large scale delivery network simulations.
# Experience in any of the following areas: algorithms and data structures, parallel and distributed computing, high-performance computing.
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.
Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances.
Diversity
We are committed to diversity, equity and inclusion in all aspects of our hiring process.
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