Vacancy Deep learning Researcher/Engineer

Description

Our Mission

Navinfo is the largest Digital Map Provider in China and third largest in the world. Our core competence is the extraction of map related features from images by intense use of Deep Learning and Computer Vision. Part of our mission is to evaluate latest technology for use in map automation and support business units with the integration of this technology into a production environment.
Your responsibility is the design, implementation and maintenance of Deep Learning based software. This includes the design, training and release of Deep Neural Networks and related tools to our customers in China.
Work Environment
You will join our multi-cultural team of Deep Learning/Computer Vision engineers within the ‘Advanced Research Lab’ (ARL) department.

You will work with up to date Deep Learning technology in a team of highly skilled professionals. Being a team player with excellent communication skills is a key requirement for us. As English is our working language your level should be B2 or higher.

As Deep Learning is a highly dynamic field we continuously try to follow the latest technology developments. Our aim is to pick up latest technology trends quickly and evaluate it for our mission.

To develop best in class deep neural networks for our customers, part of our mission is the implementation of tools that support the training and data management process.

We support use cases from Deep Learning object detection in a real-time in-car scenario to server based Deep Learning Scene Segmentation. See our YouTube channel https://www.youtube.com/channel/UCS58f4OOAcJIcaKKfpnAl3w/videos

Work Description
Within our team you will be responsible for your own products, under supervision of a project leader.


Core Tasks
• Research publications and patents
• Design of deep neural networks to tailor fit our customer requirement
• Follow technology trends in Deep Learning domain
• Evaluate latest technology for use in the map automation process
• Develop prototypes that demonstrate the potential for map automation
• Develop tools to improve our Deep Learning related processes
• Maintain clear and effective communication with the team and other team as necessary
• A PhD/MSc degree, preferably in machine learning, computer vision, computer science, mathematics or physics
• Excellent knowledge of Deep Learning
• Strong software engineering skills in C++ and Python
• Experience in object detection, segmentation, classification and re-identification
• Familiar with scientific computing and systems and have quick model prototyping experience in TensorFlow (preferred)/PyTorch with GPUs
• Experience with GPU acceleration for AI
• High commitment to quality


What we expect

Requirements
• A PhD/MSc degree, preferably in machine learning, computer vision, computer science, mathematics or physics
• Excellent knowledge of Deep Learning
• Strong software engineering skills in C++ and Python
• Experience in object detection, segmentation, classification and re-identification
• Familiar with scientific computing and systems and have quick model prototyping experience in TensorFlow (preferred)/PyTorch with GPUs
• Experience with GPU acceleration for AI
• High commitment to quality  English level B2 or higher
• Command of written and spoken Chinese nice to have


What we offer

• A competitive salary (based on a 40-hour week), consistent with your level of education and experience
• An initial one-year contract with the prospect of an indefinite contract
• One extra month’s salary per year (‘13th month’), plus 8% holiday allowance annually
• 25 vacation days , 5 compensation days
• Flexible working hours
• Extensive training opportunities
• Pension and health insurance scheme
• A fast moving, innovative and international diverse working environment


Apply

Interested?
For more information please contact HRM at 040-2313469

To apply please send your CV to the HRM department (hrm(at)navinfo.eu

This position is not open for contractors.

At the same time as you submit your curriculum vitae to us, you thereby agree to having your personal information archived. Your application will be kept in the recruitment database for one year. However, you will need to apply to each specific job that is of interest.


Apply online


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