REQUIREMENTS

5+ years’ experience as a ML Engineer or Data Scientist
5+ years’ experience in Python
Experience productionising ML models
Experience using tools like Git, Docker, Kubernetes, CircleCI
You know the fundamentals of machine learning and when they should be applied
You can translate an unstructured business problem into a well-thought-out algorithmic solution
You get satisfaction from seeing your algorithms shipped and driving measurable impact to the business
Experience mentoring others in the team
You have a bias to simplicity, where you care most about achieving impact

THE COMPANY

Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

We are hiring several Senior MLE positions in different teams across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic.
As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. 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. Your team has independence and works at some of the most interesting problems at the intersection of our three-sided marketplace (riders, consumers, and restaurants). We evaluate the performance of all our decision-making machines through our world-class experimentation platform.
Depending on the team you join, you will build intelligent decision-making machines that may:
Optimise our delivery network by making rider assignment decisions; predicting how long a leg of the delivery journey will take; or mitigating real-time delays.
Work out how many riders we need in a particular place at a particular time.
Optimise consumer and rider fees.
Improve the consumer experience by showing the most relevant restaurants and dishes.
Detect fraud and abuse from consumers, riders, and restaurants.
Assist restaurants in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish.