In depth with Artificial Intelligence

The techniques we use at Target Holding are innovative and progressive. I work on several projects at Target that are diverse and apply different techniques which I find interesting.

I feel encouraged to discover ideas. That is how I develop my creativity as a Machine Learning Engineer.

In one of the projects that I am currently working on, a reinforcement learning technique is applied. I graduated on this technique. Reinforcement learning is fascinating because this technique involves a sort of intuitive human way of learning.

The approach of this technique is that an agent (or a computer program) learns to perform a task from scratch. By means of feedback we learn which actions make a positive contribution to the execution of the task and which actions do not. This approach is very similar to Target’s creative mindset: we solve challenging problems and not everything will always work right away, but we learn from our mistakes.

At Target I spend a large part of the day thinking and solving issues in the field of artificial intelligence. Something I like to do.


The Team

Many young people work at Target. Even the more senior colleagues are still young. There is a pleasant atmosphere and we deal informally with one another. Also, in terms of content, I am well at my place. The team consists largely of technical people, so there is plenty of challenge. There is room to take in new things and to develop myself further.

Interested in a nice job at Target? Take a look at our vacancies.