Senior Machine Learning Engineer at takeaway – Berlin Office | Jobyssey

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online 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 senior machine learning engineers (but open for mid level) 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.

* Please note that this position is located in Berlin (3 days a week from our Berlin office and 2 days working from home)

These are some of the key components to the role:

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.

What will you bring to the team?

Strong experience in Machine Learning, developing real time data streaming technologies for forecast or logistics products
Strong coding and software engineering skills in Python
Able to work independently and solve complex problems, with a demonstrated ability to productise 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 tools and packages including Kubernetes (deployment in production) is expected. A plus would be additional experience with Airflow/Mlflow/Docker/Flink
Experience collaborating closely with multi-functional teams, driving forward best practices.
Real-time production systems at scale (millions of requests/transactions per day) is expected for senior level, but would be a non-mandatory plus for mid level

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 are we delivering?

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.

Are you ready to take your seat? Apply now!

Recruiter LinkedIN tag: #LI-AO1

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