Join

the WAIR team!

 

Work with the smartest people in Retail

Relentlessly reducing waste wherever we find it.

Be straightforward and transparent about
solutions and their added value.

Profit from the upside of our solutions together
with our clients and share in the downside if it occurs.

  • Backend Engineer 

WAIR is looking for reinforcement on the backend front.  Are you up to the task?
Help us build the backend that powers WAIR: the intelligent solution-suite for challenges in the retail branch.

You will play a key role in delivering value by designing, implementing, launching, and maintaining highly scalable components to support our core AI competency. All this in a dynamic, young and ambitious product team, at a pivotal moment of transitioning from a startup phase to a scaleup phase.

In order to scale fast and deliver value for our clients and users, we love to welcome your skills and ambition. We provide our clients with a variety of services, which include but are not limited to sales forecasting, visual asset inspection, visual online recommendation, content-based search, and many more.

Read more..
  • Machine Learning Engineer 

We are looking for an experienced Machine Learning Engineer to join us in building the machine learning backend that powers WAIR. You will play a key role in delivering value to our end users through machine learning.

 You will be joining a small, young, and ambitious product team, at a pivotal moment of transitioning from a startup phase to a scaleup phase. In order to scale fast and deliver value for our clients and users, we love to welcome your skills and ambition. We provide our clients with a variety of services, which include but are not limited to replenishment optimization, visual asset inspection, visual online recommendation, content-based search, and many more.

With access to massive proprietary datasets, a large dedicated GPU cluster, and advanced tooling to facilitate rapid experimentation, you will work on improving and scaling our ML microservices and pipelines with customer-specific use cases in mind. 

Read more..