20 beste Stellen als machine learning engineer in pullach im isartal, by – aktuell auf Personalsuche

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Avelios Medical —München
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smartvillage —München
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Machine Learning Engineer (all genders)
Avelios Medical GmbH —München
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SpAItial —München
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Intrinsic —München
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Proxima Fusion —München
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BMW —München
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machine learning engineer jobs near pullach im isartal, by

Machine Learning Engineer

Trimble -
München

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Details zur Stelle

Vollzeit

Qualifikationen

Informatik
PyTorch
Spark
Git
Bachelor
Machine Learning
GitHub
PC-Kenntnisse
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Machine Learning Engineer (Computer Vision & 3D)

Are you ready to build the future of reality capture?

We are seeking a Machine Learning Engineer to join our global technology team. If you are looking for a position that combines computer vision, 3D processing, and a dynamic daily environment within a company consistently recognized for its award-winning culture, this is the place for you.

You will play a pivotal role in designing, developing, and maintaining secure AI solutions for the Trimble Reality Capture platform and beyond. By collaborating with our cross-functional teams, you will help deliver robust AI solutions that extract critical features from complex 2D and 3D data.

What You Will Do

As a Machine Learning Engineer, your primary responsibilities will include:

Model Development: Building custom models tailored for computer vision and 3D point clouds.
Pipeline Architecture: Developing algorithms and pipelines for feature extraction within Trimble Business Center and the Reality Capture Platform.
Code Integrity: Contributing to and maintaining cross-team code repositories with high quality standards.
Strategic Planning: Participating in product design and requirements discussions to clarify, refine, and prioritize goals.
Collaboration: Working closely with our multinational engineering team to refine internal collaboration processes.

What You Should Bring:

We are looking for a motivated, autonomous self-starter with an achievement-driven mindset.

Required Experience:

Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Proven experience in Machine Learning or Data Science.
Hands-on professional experience with Python and PyTorch.
Strong English communication skills (written and spoken).

Desired "Plus" Skills:

Experience with 3D computer vision.
Familiarity with Visual Language Models.
Experience with Apache Spark or Ray (Strong plus).

Our Tech Stack:

You will be working with a modern toolset, including:

Languages & Frameworks: Python, PyTorch, ONNX
Data Processing: Apache Spark
Version Control: Git / GitHub
Internal Tools: Custom development ecosystems

About the Team & Location:

You will be based in our Munich, Germany office, working in tight collaboration with a globally distributed engineering team. You will partner daily with product managers, software developers, and other Trimble teams to provide state-of-the-art solutions that meet our end users' needs.

About Our Field Systems Division: Our Field Systems division provides a wide range of hardware and software solutions to the construction industry. Our team is focused on delivering web products that work with massive GeoSpatial data—including 2D, 3D, and Maps.

How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

Join a Values-Driven Team: Belong, Grow, Innovate.

At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.

Trimble’s Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact [email protected].

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