HERE is a leader in navigation, mapping and location experiences. We combine highly accurate and fresh maps with cloud technology to enable rich, real-time location experiences in a broad range of connected devices from smartphones and tablets to wearables and vehicles. To learn more about HERE, including our work in the areas of connected and autonomous driving, visit http://360.here.com The Client Data Service team aims to provide HERE customers the most relevant and the most up-to-date maps.
Join our team and actively shape the technical future of the world’s largest online hotel search. Enjoy the freedom to question established processes, work with top-notch technologies and develop new tools to impress our 120 million users per month! We’re looking for an experienced developer to manage and further improve our core hotel data. We want someone to increase the amount and quality of metadata we have by analysing, investigating and interpreting data delivered by our partners and to match these to our hotel data.
Major duties and responsibilities: Lead the development and optimization of Python and C/C++ software executed on cloud and deep learning infrastructures using state of the art practices in collaboration with the technical lead of the projectResponsible for defining and implementing QA and best software practices throughout the organizationTechnical survey of C/C++ and python standardsEssential skills and experience required: Deep knowledge of data structures and algorithmsStrong proficiency in Python and C/C++ programming languagesProfessional experience in software engineering, software design patterns and software testingProfessional experience using UNIX/Linux operating systemsGood team player and fluent EnglishStrong work ethicPreferred:
SAP’s vision is to help the world run better and improve people’s lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.
Role As Deep Learning Engineer, you will be architecting and contributing to the implementation of the software system that processes input from a variety of sensors, to detect and classify objects. Furthermore, you will need to be able to contribute to cross functional system architecture, software system design and rapid prototyping. Responsibilities Design and develop state-of-the-art vision-based deep learning algorithmsApply deep learning techniques to computer vision problemsUnderstand the latest technologies and propose innovative ideasRun experiments to test hypotheses with the teamDesign and build novel deep learning systems to solve unique problemsBuild maintainable pipelines for deep learning that can handle a huge amount of dataRequirements
We are offering you an exciting role as a software engineer (f/m) in the field of machine learning. Join one of our agile features teams to develop sophisticated algorithms for autonomous driving. Contribute to the autonomous vehicle being able to orient itself, assess situations and select the most appropriate and comfortable driving strategy – even in urban environments. Use your expertise to participate actively in all development phases from prototyping in Python, using state-of-art machine learning frameworks and ROS, to writing C++ code that runs in the final production vehicles.
We are offering an exciting position as a (Senior) Software Developer (f/m) in the field of reinforcement learning. Calling on your sound knowledge of reinforcement learning, you will independently develop new concepts and algorithms for motion planning and decision-making. You will be responsible for implementation and evaluation in simulations as well as in final testing with real test vehicles. Integration of the algorithms in a distributed software architecture means that much of your work will entail collaborating within a large team of machine learning-experts.
HERE enables people, enterprises and cities around the world to harness the power of location and create innovative solutions that make our lives safer and more efficient. We transform information from devices, vehicles, infrastructure and other sources into real-time location services that play a key role in how we move, live and interact with one another. Maps remain at the heart of the HERE mission. But what we are building today is, of course, very different from our earliest maps.