Committed, dynamical and with a passion for precision, we revolutionise the world of measurement and survey.
You are savvy in the analysis and conception of state-of-the-art technology and complex devices? Lateral thinking combined with accurate and dynamic work let you find the best of several options? Join our team and make your visions come true!
Applied Machine Learning Engineer (f/m)
This appeals to you
Productize machine-and deep-learning models and architectures into our productssuch as terrestrial laser scanners or total stations
Development of machine learning algorithms and their evaluation with experiments
Deploying machine learning models on embedded devices
Development of software modules and machine learning models for object detection, and classification
Contribution to the development of the machine learning software infrastructure
Coaching role within the software development team with regards to machine learning.
Collaboration with internal and external partners
This is you
A relevant university qualification (Master / Ph.D.) in computer science, mathematics, engineering or a related field with focus on machine learning
Knowledge of advanced methods in machine learning, in particular in Deep Neural Networks
Proven track record of applying machine learning to real industry products
Familiarity with established machine learning and data processing frameworks and libraries like Tensorflow, Keras, Pytorch, Scikit learn, Scipy etc.
Proficiency in software development using languages with Python and C++
Part of an agile software development environment within a self-organized team
Strong inter-disciplinary communication and cooperation skills
Software development experience on embedded systems is an asset
Fluency in English is a must / German beneficial
Our innovative solutions and products are characterised by the highest efficiency and reliability.
Help us to improve the future, become part of our team and a global success story.
How can I apply
If you are interested in this challenging and varied position, then