We're a leading global online food delivery platform, and our vision is to empower everyday convenience.
Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
We are looking for engineers with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a great environment!
You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. Location: Hybrid- 3 days a week from JETs Berlin office & 2 days working from home
Reporting to: Technology Manager, Machine Learning
Proven academic/industry experience in Machine Learning or similar, developing technologies for forecast or logistics products.
Strong coding and software engineering skills in a mainstream programming language; Python preferred.
Amazon Web Services, Google Cloud Platform).
Familiarity with ML tools and packages like TensorFlow, pyTorch etc.
Practical experience building and optimizing production quality machine learning applications making use of engineering best practices, automation and experimentation.
Understanding of machine learning algorithms and ability to apply them in data driven processing systems.
Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases.
Implementing and launching Data Science applications that coordinate with front facing solutions; Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.