<h2>What's the role?</h2> <p>We are looking for a Senior Applied Data Scientist to drive the development of large‑scale computer vision and machine learning solutions that automatically extract high‑fidelity map features from Aerial and Satellite imagery. In this role, you will leverage vision foundation models, deep learning, and geospatial analytics to power HERE’s global mapmaking products.</p> <p>You will work on cutting‑edge problems such as automated extraction of road & lane boundary and buildings, operating at planetary scale with diverse imagery sources and conditions. This position sits at the intersection of AI research and production systems, with direct impact on HERE’s next‑generation maps used by millions worldwide.</p> <p> </p> <p>Key responsibilities</p> <ul> <li>Design, develop, and deploy computer vision and machine learning models to automatically extract map‑observable features from satellite imagery.</li> <li>Leverage and adapt vision foundation models and modern deep learning techniques for geospatial feature extraction at global scale.</li> <li>Build scalable, production‑ready ML pipelines that process large volumes of satellite imagery with high accuracy and efficiency.</li> <li>Integrate ML outputs into HERE’s mapmaking systems, ensuring alignment with cartographic quality, consistency, and accuracy standards.</li> <li>Address real‑world geospatial challenges such as variable imagery resolution, diverse sensors, regional differences, and environmental conditions.</li> <li>Define evaluation metrics, conduct experiments, and drive continuous improvement of model performance and map data quality.</li> <li>Collaborate cross‑functionally with data engineering, mapping, and product teams to translate business needs into ML solutions.</li> </ul> <p> </p> <p> </p> <h2>Who are you?</h2> <p>Qualifications</p> <ul> <li>Master’s or PhD in Computer Science, Machine Learning, Data Science, Geomatics, Remote Sensing, or related field (or equivalent practical experience).</li> <li>hands‑on experience applying machine learning or computer vision to real‑world production problems.</li> <li>Strong expertise in deep learning for images, including CNNs, transformers, and large vision models.</li> <li>Practical experience working with satellite or aerial imagery, geospatial data, or remote sensing datasets.</li> <li>Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow).</li> <li>Experience designing experiments, evaluating model quality, and driving continuous improvement in deployed systems.</li> </ul> <p>Preferred Qualifications</p> <ul> <li>Experience with vision foundation models or large‑scale pre‑trained models for imagery.</li> <li>Knowledge of geospatial data formats, coordinate systems, and spatial analysis.</li> <li>Experience processing data at global or near‑global scale.</li> <li>Familiarity with MLOps, model monitoring, and lifecycle management in production.</li> <li>Contributions to published research, patents, or open‑source projects in computer vision or GeoAI.</li> </ul> <p> </p> <p> </p> <p>The expected base salary range for this position is $140,000 to $160,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance. </p> <p>  </p> <p>Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.   </p> <p>  </p> <p>As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records. </p> <p>  </p> <p>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.  </p> <p>  </p> <p>Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team. </p> <p> </p> <p>#LI-AG3</p> <p>#LI-REMOTE</p> <p> </p> <h2>Who are we?</h2> <p>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.</p> <p> </p> <p>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.</p>