What makes us different
Enjins is a place to excel among your peers, learn and teach, help each other out and strive for the best! The following values are leading in building our team and culture.
We like to help each other out and acknowledge the added value of working in a team.
We are honest and open towards our self and others. We know and talk about our strengths and weaknesses in order to grow and excel.
Down to earth
We are ambitious, but we do have two feet on the ground.
We are more than just a smart Machine Learning engineer, we like adventure and take initiative.
We have an intrinsic drive to discover new challenges, people and organizations.
Your questions, answered.
When you are a strong and curious analytical thinker who enjoys working on a mixture of engineering (i.e. cloud infra, databases, networking, model deployments) and science. Always with the focus to implement end-to-end Machine Learning solutions for our clients.
Click here to check our openings and press the apply button at the bottom of the vacancy. We look forward to hear from you!
Come as you are, you don’t have to dress up. We are an informal company that will focus on you and not your clothes.
We strive to complete the whole process within a month. The selection process contains a short introductory interview via videocall, a lengthier interview with two employees and a ML engineering case round.
In the first month at Enjins we will get your familiar with out tech stack, you will get to know everyone of the team, and you will start with your first project. A buddy and a lead ML engineer are assigned to you to guide you through the beginning of your Enjins career. Expect a lot of new information, learning on the job and fun along the way!
Lucky for your, our ML engineer Keje wrote a blog about this. Check it out to find more: <link>
At Enjins we believe that the best and fastest way to learn is by doing. We will coach and help you during the projects and make sure that you don’t get stuck. A lead ML engineer is assigned to you for regular 1-1 coaching. Besides this we developed a two-monthly inhouse training program for all ML engineers. And every Friday, we share our knowledge and experiences with each other during our famous ‘learn at lunch’.
Check out our openings