Machine Learning Engineer

Location: Helsinki
Date posted: 11.04.2022
Application deadline: 15.05.2022

We are looking for a Machine Learning Engineer to join our software team located in Helsinki, Finland.


What does a Machine Learning Engineer do?

In this role, you will have the chance to participate in one of our interesting R&D projects focused on machine learning and play a key role in this development team. As a Machine Learning Engineer, you will be developing the data science part of our application, from neural network architecture to training and running experiments. You are designing the validation procedures in the project and guiding our current data engineering with data augmentation and feature engineering activities. Scaling up our training and data management processes with cloud is integral in this role. As part of the development team, you are contributing to the planning of processes and methods used in the machine learning project.



What does Mapvision do and what is the team like?

Mapvision’s multi-camera technology digitalizes traditional mechanical measuring tasks by utilizing machine vision, 3D CAD technology, and photogrammetry. In this role, you will be a part of our image-based machine learning development project.


You will be part of our software team, which consists of 20 professionals who are divided among three software components. The team members have a wide range of opportunities to work based on their interests and abilities. While we work in small teams, we have a low hierarchy, and the capability for independent work is appreciated. As a Machine Learning Engineer, you will be working closely with all three teams as well as other teams and stakeholders.



What we are looking for

The chosen Machine Learning Engineer will play a key role in taking the step from piloting our machine learning-based solutions to deploying and scaling them in production. The ideal candidate loves learning new things but has also gathered a few years of work experience already. We appreciate experience from carrying out independent work responsibilities or projects while also working smoothly together with your team. Ideally, you have a computer science background with a suitable specialization (data science, computer vision and you are well up-to-date with the state of the art theoretical knowledge in machine learning and have some experience in image processing.


As an ideal candidate you have:

  • Experience with image-based deep learning and computer vision through studies or work
  • Experience in managing experiments in a systematic way
  • Ability to work fluently with Python and TensorFlow or PyTorch
  • Experience with cloud-based machine learning technologies and tools such as Azure, AWS, or Google. (We are using Azure)
  • Good collaboration skills and the ability to explain complex issues in a simple way
  • Experience in evaluating statistical methods and models
  • Professional language skills in English
  • Relevant background in computer science, mathematics, physics, etc.



What can we offer?

Mapvision is on a mission to visualize quality for agile manufacturing, and we offer you the possibility to work with a future-proof technology ready to take over the world in an interesting industry. We are part of the electric vehicle and zero waste transformation. As part of the Mapvision team, you will get to experience a truly international growth company with colleagues from various backgrounds, offices in Finland, the US, Germany & Czech Republic, and customers worldwide.


As part of the Mapvision team, we will offer you

  • Possibility to combine your software skills with hardware interest and take ownership of development projects impacting the future of our Quality Gates.
  • Start-up minded and international environment with a low hierarchy
  • Flexible company culture and freedom to organize your work with no micro-management.
  • Extensive employment benefits such as private health care, remote work possibility, regular in-house training and events, and market-rate salary.



How to proceed?

Apply today by using LinkedIn. Remember to indicate your salary request, possible GitHub (or similar) profile, and the earliest possible starting date in your application documents.


We review applications as they arrive and hire the right people straight away, so apply already today!


If you have any questions about the job or our company, please contact