Junior Machine Learning Engineer at Sine Engineering
Tampere, , Finland -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

29 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Higher Education, C++, Algebra, Computer Science, Computer Graphics, Mathematics, Python

Industry

Information Technology/IT

Description

Sine Engineering is the leading global company developing advanced radio communication and navigation systems. We are building mission-critical infrastructure for the multi-million drone era.
Here, you will work with cutting-edge technologies tested in the most challenging environments in the world, and watch your ideas evolve into an ecosystem that safeguards humanity.
We are seeking a Junior Machine Learning / Computer Vision Engineer who is passionate about 3D computer vision, machine learning, and exploring emerging techniques like Gaussian Splatting. As a key member of our team, you will help build innovative solutions new to the world. This is a rare opportunity to become part of an exceptionally skilled, cross-functional team capable of developing advanced system-level solutions from the ground up.
You’ll collaborate closely with engineers based in Ukraine and should be eager to adopt established technical standards and methodologies from our core team.
We value great ideas, rapid iteration, and open collaboration - and we’re driven by the impact our solutions can make. We are seeking professionals in Finland who aspire to go beyond product development and contribute to shaping the world of tomorrow.

REQUIREMENTS:

  • Ongoing or completed higher education in Computer Science, Mathematics, Engineering, or a related technical field.
  • Basic understanding of computer graphics, linear algebra, and optimization methods.
  • Programming skills in Python and/or C++.
  • Familiarity with machine learning frameworks such as PyTorch or JAX.
  • Experience using version control systems (e.g., Git).
  • Interest in or basic experience with 3D reconstruction tools like COLMAP is a plus.
  • Good problem-solving skills and ability to work in a team.

How To Apply:

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Responsibilities
  • Assist in the implementation and testing of machine learning and computer vision algorithms.
  • Contribute to research and development efforts related to Gaussian Splatting and 3D scene reconstruction.
  • Work with large-scale datasets and assist in building processing pipelines.
  • Collaborate with team members in code reviews, development planning, and experiments.
  • Participate in optimizing and integrating vision models in real-world applications.
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