Careers March 29, 2022

Machine Learning Engineer


We strongly believe that current developments in the fields of Computer Vision and Machine Learning are amongst the most interesting that computer science has seen in decades. Our team is deeply involved in those advancements and they are central to our work as well as the technology we develop.

As a Machine Learning Engineer in Huddly you will join our engineering team in discovering, designing, developing and delivering world-class team collaboration tools and experiences. Your main focus will be on developing software tightly coupled with the hardware running Huddly products.

Huddly is growing and we encourage individual growth. To succeed we need a diverse team with a variety of interests and expertise, so we support and encourage you to grow in the direction that fits your passion and strengths.

As Machine Learning Engineer at Huddly you will

  • Create and train models that we run on our cameras
  • Design and execute strategy for collecting and organizing training and validation data
  • Test and improve quality of existing models
  • Work closely together with our ML team and projects teams to develop world-class products

Your skills and qualifications

  • Higher Education in Computer Science or other relevant area
  • Minimum 3 years of relevant experience
  • Hands-on Python knowledge
  • Experience with Tensorflow, Keras, pytorch or similar
  • Continuous delivery
  • Analytical and mathematical skills
  • Enjoy a balance of personal ownership and teamwork
  • Fluent English- we have a diverse group of colleagues from all over the world

Workplace and culture

Huddly is a technology company that creates tools for team collaboration. Our team is composed of world-class experts, leaders, specialists and graduates working together on cutting-edge technology. Some of the things that reflect working at Huddly are…

  • A healthy work/life balance with flexible working arrangements and office centrally located in Oslo
  • A vibrant and diverse workplace with colleagues from all over the world. We appreciate skill, knowledge, and humor
  • A culture of innovation and sharing
  • Opportunity to pursue your personal and professional development
  • The chance to take ownership and develop your career in a growing company
  • An engaged team, we have fun together with cabin trips, regular social events such as book clubs and quizzes

Applications will be handled as they come in