Our digital inspectors perform visual inspection tasks based on the latest and greatest in ML technology. Our pipelines process huge amounts of images and video to automate the tedious work of surface inspection and object tracking. However, we don't want to bother our customers with the technology stack. They use a range of SaaS products with intuitive user interfaces. We focus on inspection solutions for the infrastructure, smart cities and manufacturing markets.

As a machine learning engineer, you will work on initiating, improving, and scaling our ML pipelines with customer-specific use cases in mind. You'll work in a team of skilled experts with a sharp focus on growth on a worldwide scale. We value everyone's opinion and expect our new hires to bring something extra to the table, both on a personal level and as a professional. Do you want to apply your ML knowledge in reality? We do nothing else.

We challenge you

  • To deliver continuous improvements to our ML pipelines
  • To work with massive amounts of data and not be intimidated by it
  • To discover and rapidly prototype promising new developments
  • To assess and improve the scalability of our ML pipelines and services
  • To think from the perspective of our customers
  • To contribute to the team spirit by conducting code reviews and mentoring interns and junior members

We like

  • Your pro-activeness and social skills
  • Your team spirit and how you value everyone's opinion
  • Your ability to have a long-term vision, and a keep-it-simple attitude at the same time
  • How you understand that machine learning is ultimately all about humans
  • Your ability to look at technical products from the perspective of an end-user

We ask for

  • 3+ years of experience as a machine learning engineer, with experience in computer vision, using NN's and/or OpenCV
  • Excellent skills in:
    • Python
    • PyTorch
    • REST-API's (Fast API, Flask)
    • Docker, Kubernetes
    • KubeFlow
  • A relevant completed higher education
  • Scalable, reusable, readable, reliable, and well-documented code
  • An attitude of taking responsibility and ownership
  • A passion for turning ML technologies into concrete products
  • A readiness to work on the modeling-, data-centric- and deployment sides of the product
  • A sense of humor and a desire to interact with people

Nice to haves 

  • Previous experience with workflow software like Kubeflow, Airflow or Dagster
  • Experience with data-centric AI
  • Published a blogpost or scientific paper
  • Familiarity with optimized ML runtimes such as TensorRT, Onnx
  • Prior experience with Cloud providers such as AWS, GCP, or Azure

In return

  • Get a competitive salary based on your experience
  • You get 25 paid vacation days
  • You can combine working from home and in our office
  • You have the opportunity to keep learning, researching, and improving your skills
  • You benefit from the perks of a rapidly growing company that's expanding internationally
  • Expect freedom and autonomy as a team on how to approach problems and direction
  • Be part of a positive, encouraging, international work environment with an open culture
  • We have an attractive employee incentive plan available once you've made yourself indispensable

Ready to apply?

Upload your CV and cover letter below and we'll be in touch with you shortly.

Moermanskkade 600   |   1013 BC AMSTERDAM   |   The Netherlands   |   +31 (0) 20 369 7260