The job includes all parts of software development lifecycle: refining product vision, gathering requirements, software system design, coding, testing, release and support. As our team is spread around the globe, you will work collaboratively with other team members from different locations.
What we offer
HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
You will be part of the Labeling as a Service (LaaS) team, which plays a critical role in supporting the Machine Learning (ML) team by ensuring high-quality dataset training through precise labeling, visualization, and feature extraction. The team is responsible for developing and maintaining annotation tools used by GCO users, as well as providing robust feature extraction capabilities to various stakeholders. Additionally, the LaaS team oversees essential infrastructure and processes that enable scalable and efficient data labeling operations.
Software Powered by iCIMS
www.icims.com