Job Title: Feature Extraction Engineer/Data Scientist
Job Location: Munich, Germany - hybrid working between office and home (alternative location Vilnius, Lithuania)
Job Department: Trimble GeoSpatial
Are you interested in identifying and delivering disruptive cutting-edge technologies?
Do you like to be part of a core team that extracts intelligible information from images and point clouds?
Do you enjoy combining multiple technologies into a single solution? 3D points pixels vectors? Deep learning with classical computer vision?
We are seeking a Feature Extraction Engineer/Data Scientist to join our European data extraction team, refining and creatively effective algorithms that will allow our clients to generate 2D/3D imaging from a range of data sources.
We are a distributed team delivering feature extraction solutions for 2D/3D/Hybrid data across multiple Trimble divisions, teams and products. The solutions involve cutting-edge AI technologies combined with classical algorithms that translate into products used in everyday customer workflows. Ranging from remote sensing data, CAD drawings to various types of point clouds.
Ideally, you will be commutable to our Munich office where you will work hybridly between home and our office. As well as being able to manipulate data efficiently, you must be an effective communicator as you will work in tight collaboration with the product managers, software developers and other Trimble teams to provide our end users the state of the art solutions they require.
What You Will Do:
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As a Feature Extraction Engineer / Data Scientist, you will be:
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Working with our Feature Extraction team consisting of software engineers and feature extraction engineers in proposing and defining solutions for various feature extraction workflows and implementing solutions from prototype to production.
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Working on solutions with 2D raster and 3D point cloud data focusing on GeoSpatial workflows.
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Developing algorithms and workflows, including deep learning, knowledge-based solutions for extracting features from 2D, 3D and hybrid 2D/3D data.
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Productizing solutions into Trimble software packages like Trimble Business Center, Trimble Cloud frameworks, etc.
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Supported by software engineers for required core features and infrastructure to deploy solutions to production
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Actively collaborating with other hardware and software teams at Trimble working on different types of sensors and data including scanning, mobile mapping, aerial survey.
What Skills & Experience You Should Bring:
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Bachelor's Degree in Computer Science, Technology, Engineering, Mathematics or related
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Experience with image processing
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Strong background in math
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Hands-on experience with python and deep learning packages like TensorFlow
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Highly-motivated, autonomous self-starter with achievement-based drive
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Excellent english communication skills (written, spoken)
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Experience with point clouds is a strong plus
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Understanding of GeoSpatial workflows is a plus
Salary & Benefits:
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Competitive salary that is dependent upon your experience and location but will be market leading
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Bonus potential of up to 3% of base salary
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Income Protection Arrangements
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Company Pension Scheme
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Annual Leave in line with country standards
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Life Assurance
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Access to our Employee Share Scheme
About Trimble:
Trimble is an exciting, entrepreneurial company, with a history of exceptional growth coupled with a disciplined and strategic focus on being the best. While GPS is at our core, we have grown beyond this technology to embrace other sophisticated positioning technologies and, in doing so; we are changing the way the world works. Our solutions are used in over 140 countries and we have incredibly diverse lines of business.
Our employees represent this diversity and can be found in over 30 countries, working closely with their colleagues around the world. Due to our geographic, product and customer reach, there is plenty of room at Trimble for exceptional people to grow. Come and place yourself with an innovative industry leader and position yourself for success.
Trimble is proud to be an Equal Opportunity and Affirmative Action Employer and considers qualified applicants for employment without regard to race, gender, age, color,