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Advian
Posted 2w ago

Machine Learning Engineer, 3D

Advian
Espoo, Uusimaa, Finland
HybridFull Time
Responsibilities
  • developing models
  • processing data
  • collaborating customers
Requirements
  • Hands-on ML experience with 3D point cloud/LiDAR
  • Model training and evaluation
  • Python and Git proficiency, and professional Finnish and English communication
Technical tools mentioned
PythonGit

Job description

Do you want to work on real 3D machine learning and build practical solutions together with a team of point cloud experts?

At Advian, we’re looking for a hands-on Machine Learning Engineer to work on practical ML and point cloud analysis projects. 

You may still be relatively early in your engineering career, but already have hands-on experience, the ability to work independently, and the motivation to grow into a strong 3D ML expert.

In this role, you’ll work closely with customers, domain experts, and other developers — and see how your solutions perform in practice. 


ADVIAN 

Advian turns data into real value by tackling tough challenges with expertise and methods you won’t find elsewhere. Our core strengths are Edge AI, GeoAI, and the intelligent use of data. We work across industries with technically demanding and innovative projects, often solving problems where standardsolutions don’t exist. Our flat and self-directed organizational culture gives you the autonomy to drive impact while benefiting from support among highly skilled colleagues.

THE ROLE 

As a Machine Learning Engineer, you work on machine learning and point cloud analysis projects from early-stage prototyping toward practical real-world solutions. Projects involve LiDAR, point cloud data, and 3D machine learning. 

You work as part of the point cloud team, working hands-on on the development and prototyping of 3D ML algorithms. The focus is on solving real customer problems with practical and efficient approaches.  


Your daily responsibilities include: 

- Developing ML methods for LiDAR and point cloud data
- Working with 3D ML tasks such as classification, segmentation, and object detection
- Processing and analyzing point cloud datasets
- Collaborating with customers and other team members

WHAT WE ARE LOOKING FOR

We would fit each other perfectly if you have: 

- Machine learning skills (such as classification, segmentation, and object detection), including model training and evaluation
- Experience working with 3D point cloud data
- Proficient programming (Python) and data processing skills
- Version control experience (Git)
- Finnish and English skills (both at a professional working level)

It is considered a plus if you have: 

- Understanding of computer vision methods
- Understanding of geospatial data / georeferenced point clouds
- Experience with solutions taken into production
- Experience working with infrastructure domain 


WHY ADVIAN 

At Advian, you get hands-on responsibility early, while still having support from highly skilled colleagues around you. Our low-hierarchy and self-directed culture gives you the freedom to experiment, learn, and grow as an expert. 

Who better to tell than the co-Advians themselves? Many describe Advian as a place where freedom, trust and self-direction enable meaningful work.  

We also offer you, among other things: 

- Hybrid and flexible work, combining independent work with close collaboration with teams and customers
- A low-hierarchy, self-directed culture
- Hands-on work with machine learning and point cloud data
- Opportunities to grow into a 3D ML expert
- A supportive team of top professionals

Read more about Advian and co-Advians on our website. 

 

ARE YOU INTERESTED? 

Share your goals in your application and send it through our career portal no later than 18.8.2026.  

If you have any questions, feel free to contact our People Lead Pinja Fernström ([email protected]


Only goals and dreams as limits! 

About Advian

Provides edge and geospatial artificial intelligence solutions.

Year founded
2019
Employees
40
Organization type
Private
Latest investment
Raised $9.62k Grant (2023) — led by European Union
Headquarters
FI

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