Machine Learning Engineering

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. 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.

About This Role

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 work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. 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. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations.

Location: Remote Canada

Reporting to: Technology Manager, Machine Learning

These are some of the key ingredients to the role:

• 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.
• Able to work independently and solve complex problems, with a demonstrated ability to productize and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform).
• Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns.
• 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.
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
• Ability to collaborate closely with multi-functional teams, driving forward best practices.
• Clear oral and written communication.
  
  

What will you bring to the table?

• Researching, implementing, and deploying innovative ML techniques applicable to logistics problems.
• 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; constant improvements using performant and efficient ML models.
• Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.
  
  

At JET, This Is On The Menu

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.

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.