Senior ML Engineer (m/f/d)

Company Description

We are Flink - your online supermarket revolutionising the way you do your grocery shopping. With a wide selection of over 2,400 high-quality products, we aim to deliver to your door in minutes. We put our customers first and ensure all products delivered are fresh and nutritious. Additionally, we can customise our national assortment to be able to offer you unique local products in every city. Our delivery hubs are located in densely populated inner-city locations and we strive to be sustainable by delivering on electric bikes and using packaging that can be recycled. 

Founded by experienced e-commerce professionals and seasoned entrepreneurs with exceptional track records, backed by some of the most renowned Global investors, we are growing rapidly and have a great hunger to continuously challenge ourselves. We pride ourselves in being an inclusive and equal opportunities employer with a diverse and multicultural team.

If you want to be part of this exciting journey… read on!

In your role as a Senior ML Engineer (m/f/d), you will get the chance to work in a cross-functional team that consists of Data Scientists, Software Engineers, Platform Engineers, and have close collaboration with other departments (like Data department) to define the future of ML in Flink. You will have a direct impact on the business by developing Flink’s Product Recommenders. The recommendations generated by these systems will feature prominently throughout Flink’s app and marketing campaigns. Your work will therefore have a direct impact on the grocery shopping experience at Flink.

Job Description

• You will create systems that automate processes needed for the lifecycle management of ML models, including model training, testing (both for code and data), monitoring, and deployment
• You will create and scale internal services that deliver real-time predictions needed for Flink’s recommendations engines that have a direct impact on consumer-facing app
• You will take a leadership role in helping the team and the rest of the organisation on development and maintenance of Flink’s Data Products
• You will closely collaborate with other parts of the organisation like Data and Platform teams as well as internal customers of our Data products to implement the best solutions 

Qualifications

• You have at least 4 years of experience designing, developing, and deploying ML products (ideally recommendation systems)
• You have previous experience with architectural input into the design and build of Data/ML products
• You are a proficient Python programmer and are familiar with the libraries most commonly used for ML
• You are able to effectively provision and configure infrastructure needed for ML/Data products, as well as deploying/scaling and monitoring them in a public cloud environment (ideally you have experience doing these within the Google Cloud Platform ecosystem)
• You are extremely comfortable navigating and translating the needs of Data Scientists into concrete and practical solutions in collaboration with Data and DevOps Engineers
• Open-minded personality, comfortable working in a collaborative Agile environment

Additional Information

• A cool discount off your personal Flink orders, be the first to test out new products!
• A €1000 annual L&D budget, as well as career coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
• Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
• Attractive company pension options
• Online discounts with Corporate Benefits and Future Bens
• 26 days of vacation, +1 day every year up to a maximum of 30 days
• A unique opportunity to be an early bird and have an impact on our strategy & growth
• A steep learning curve, the possibility of working in an energised and dynamic team within a fast-paced environment
• For Berlin: A newly renovated and spacious, dog-friendly HQ in the heart of Mitte - lots of delicious lunch spots available within short walking distance

It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.