What's the role?

We are looking for a lead data scientist in our team. In this role, you will be Leading the effort for developing and improving indoor map automation algorithms and models. Working with a variety of stakeholders, and other teams making sure we're focusing on the right topics Collaborating with team members and coaching the rest of the team in machine learning expertise.

• Analyzing data, designing new algorithms and models
• Developing and supporting indoor map automation pipelines
• Building and scaling the automation deployments in cloud environments
• Collaborating in cross-functional teams of data scientists, developers, DevOps, and quality engineers
• Continuously looking for best practices, looking out for the next best thing

Who are you?

• Minimum of 7 years of relevant professional experience
• Experience developing and testing machine learning projects with strong background in different learning algorithms and models
• Good knowledge of computer vision, point clouds, object detection
• Knowledge and experience in machine learning in cloud environments
• Experience working in an Agile development environment
• Experience in E2E software development lifecycle - from requirement gathering to deployments
• Experience in deploying models on cloud platforms using Docker or Kubernetes
• Proficiency in Python

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.

Who are we?

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.

The HERE Indoor Map team is responsible for taking the next step in indoor map making – automating indoor map generation using LIDAR and high-resolution imagery as the starting point. From this survey data, we will generate indoor maps of human and autonomous vehicle consumption using machine learning, big data processing methods, and artificial intelligence. HERE Technologies started the digital map revolution already in the 80s. For the last 30 years we have been a leader in digital maps and today majority of the in-vehicle navigation devices use our maps. This gives us the credibility to be the technology leader also in the transportation revolution -from autonomous transportation systems to optimizing global supply chains. All these require unprecedented capabilities to locate everything accurately, collect sensor data to the HERE Platform, process the data using Machine Learning, Computer Vision, and Artificial Intelligence, and control these same systems based on real-time data analysis. We provide a platform, build services, and collect data to power the autonomous world: HERE Indoor takes our location DNA indoors. We truly know map making outdoors - hence we also know map making indoors. While these indoors are visually enchanting, they also enable autonomous vehicles and robots to understand in detail, what is around them.Indoors is new outdoors when it comes to location-based services. Consumers and industries increasingly expect to receive accurate and fresh map content both indoors and outdoors. These services are required to guide people in complex indoor environments, track assets in logistic centers, and produce location-based analytics. Importantly, the next-generation automotive services such as advanced parking services and automated valet parking require indoor maps to be suitable also for the automated automotive use cases (ADAS systems).