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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.
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.
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.
As a Machine Learning Engineer, your primary responsibilities will include:
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.
We are looking for a motivated, autonomous self-starter with an achievement-driven mindset.
Required Experience:
Desired "Plus" Skills:
You will be working with a modern toolset, including:
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.
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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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