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Machine Learning Intern

deliverooLondon, London, City of, United Kingdom4d ago
In OfficeInternEMEAArtificial IntelligenceInternMachine Learning EngineerPythonTensorFlowPyTorchMLflow

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Requirements

• Are working towards a BSc/MSc/PhD in Computer Science, AI, ML, NLP, Statistics or a related field • Have a mastery of Python and one ML framework (Tensorflow, Pytorch, MLFlow) • Have experience in research and in solving analytical problems • Are a strong communicator and team player. • Have a passion for applied ML

Benefits

• Deliveroo is a great place to start your career as a Machine Learning Engineer because you’ll work on real problems, at real scale, alongside some of the brightest technical minds working in applied machine learning today. • We have a brilliant ML community with 50 MLEs based in London alongside a further 200 Data Scientists, Data Analysts and Analytics Engineers. Here, you’ll be embedded in a product team, paired with experienced engineers, supported by a strong ML community, and responsible for owning and launching machine learning models in production. To do this, you’ll have the support of peers, mentors, and a manager who shares best practices, reviews work, and actively mentors early-career talent. With Deliveroo now a part of DoorDash, you will also become a part of DoorDash’s global Engineering org, which will help you to meet even more colleagues around the world. • The problems we work on are genuinely complex. We operate a three-sided marketplace, handle large volumes of real-time data, and deploy machine learning models that directly affect how millions of people discover food, place orders, get deliveries, and receive support. Your work will be grounded in real-world constraints and trade-offs, not toy datasets or academic exercises. • If you’re interested in applied machine learning that ships to production, has measurable impact, and is built collaboratively rather than in isolation, this is a strong place to learn fast. • At Deliveroo, people are at the heart of what we do. We offer a wide range of benefits across health, wellbeing, learning and development, and financial support.

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