Machine Learning Engineer

Posted 10 Days Ago
Be an Early Applicant
Munich, Bavaria, DEU
In-Office
Junior
Hardware • Information Technology • Other • Software • Analytics
The Role
As a Machine Learning Engineer, you will develop models for computer vision and 3D data, collaborate with teams, and maintain code integrity.
Summary Generated by Built In
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].

Skills Required

  • 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)

Trimble Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trimble and has not been reviewed or approved by Trimble.

  • Equity Value & Accessibility An employee stock purchase plan with a discount and lookback, plus RSUs in some roles, makes equity participation accessible. The ESPP is often highlighted as a standout part of the package.
  • Parental & Family Support Paid parental leave in the U.S. is characterized as solid and well-regarded. This support is repeatedly positioned as a strength within the broader benefits offering.
  • Leave & Time Off Breadth PTO is described as generous, with some groups using flexible or unlimited models. Paid holidays and flexible time-off approaches contribute meaningfully to work-life support.

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The Company
HQ: Sunnyvale, CA
10,001 Employees

What We Do

Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety and sustainability. From purpose built products to enterprise lifecycle solutions, Trimble software, hardware and services are transforming industries such as agriculture, construction, geospatial and transportation. For more information about Trimble (NASDAQ:TRMB), visit: www.trimble.com. Trimble products are used in over 141 countries around the world. Employees in more than 30 countries, coupled with a highly capable network of dealers and distribution partners serve and support customers worldwide. As the market leader in most of our businesses, we offer a compelling value proposition to our customers based on productivity, return on investment and environmental stewardship. Come position yourself with an innovative industry leader and position yourself for success.

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