Machine Learning Engineer

About Kivra 

We believe that digital postal services make life easier for both the sender and the recipient, while at the same time contributing to a more sustainable world. Over 1 billion envelopes are sent every year, in Sweden alone. We think that there’s a better, faster, more secure and more environmentally friendly way to do this. That’s why we created Kivra.

We’re looking for a Machine Learning Engineer

We’re looking for a machine learning engineer to join our Product and tech team in Stockholm. The vision is to deliver automated solutions for our users to create real user value. 

We collaborate and work closely together in the Product and tech team to build models and services that add value to our service in terms of automation, personalization and increased relevance. 

Some of the examples of our current machine learning projects are image processing and classification as well as content classification using Natural Language Processing (NLP).

What you’ll do

  • Design, build and train ML-driven products.
  • Work closely with cross functional teams to build prototypes as well as production ready solutions.
  • Consider engineering as a whole by making the pragmatic tradeoffs in terms of security, performance and compliance, as well as maintainability, availability, and cost.
  • Foster a culture of mentorship and knowledge sharing within the team.

We think that you are

  • An experienced software engineer.
  • Experienced in implementing production machine learning systems with a solid understanding of ML theory.
  • Experienced in taking things from idea to production.
  • Experienced in data management or machine learning.
  • Experienced in data science libraries like TensorFlow.
  • Comfortable in putting models into production.
  • Experienced in working with cloud platforms, for example AWS and GCP.
  • A strong communicator and are comfortable discussing your and others solutions.

Additional information

  • Remote status

    Temporarily remote

Känner du några som skulle passa ännu bättre? Berätta det för dem.



Klara Norra kyrkogata 33
111 22 Stockholm Vägbeskrivning Se sida


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