Machine Learning Engineer Advertising

Build and implement machine learning models

How do you make our customers happy?

Advertising within bol strives to present customers with maximally relevant ads. This is great for our 13 million customers as well as for our advertisers, because relevance is the primary driver of conversion. Particularly in a setting that displays adsduringthe shopping experience. So matching what customers want/are looking for with partner ads is our ultimate ambition. But can we accomplish that? As a member of bol’s largest innovation club, you answered with a resounding ‘yes!’, because dreaming big and realizing those dreams is what we do. We already have all the right tools, and we know that you can help us get even more out of them.

What you do as Machine Learning Engineer Advertising

Our Advertising teams are home to ambitious product owners, data analysts/designers, software engineers and other data scientists, who all work together to maximize our advertising potential for customers and advertisers. You help deploy machine learning models such that they can deliver in the real-time, high-traffic context of Bol, where you employ your technical expertise to make the most out of these models, while adhering to business requirements. This role requires an experimental mindset – we can only build and deploy the best possible data science solutions based on tested and validated algorithms and implementation solutions.

You work with software engineers and data scientists from the Advertising teams to build solid bridges between data and personalized ads for customers. This is where your expertise makes all the difference. How can we take a new model into production? And how to facilitate refinement thereafter? We don’t think you’ll want to sit back and wait for ‘assignments’ here, because we eagerly encourage you to propose your own ideas for innovations. Innovations will be geared at, e.g.:

• Enhancing bol as an advertising platform for customers and advertisers
• Displaying the right ad in the right place at the right time
• Automating recommendations for advertisers that want to spend their time (and marketing budgets) more effectively
• Developing and supporting underlying software systems
• Identifying valuable new innovations, experiments, and advanced methods

3 reasons why this is (not) for you

• Your track record breathes data Yes, if you bring 5+ years of engineering experience to the table, preferably in ‘data-driven, personalized’ solutions and technical realizations
• You love lab settings Yes, if you love to experiment and innovate and can get colleagues on board for the ride
• You go from concept to realization Yes, if translating complex questions into the technical realization of scalable models and algorithms is totally your cup of Earl Gray

• You’re not into tooling No, if FastAPI / Kubernetes / MLFlow is terra incognita
• You’re a soloist No, if you’ve never worked with software engineers and don’t look forward to the experience
• You don’t deviate from the path No, if your natural inclination is to stay on the beaten path: it might be boring, but it feels ever so secure

You’ll land in the Advertising tech fleet, one of our engineering departments that focuses on the different Advertising products. We develop innovations and technical tools to present advertisers with limitless opportunities to showcase their products/services on our platform. We zoom in on strategic topics, such as sponsored products and display advertising, as well as on audiences and the data we can make available to our advertisers.

You work with software engineers, data scientists from our Advertising teams and data analysts to build solid bridges between data and personalized ads for customers. Your machine learning models make all the difference.