AI ML Engineer

• • Build reusable geospatial AI building blocks  embeddings, similarity search, and retrieval components  that other domain teams consume rather than rebuild.
  • Contribute to production agentic pipelines , implementing and improving detection, validation, and data-handling components that process real map and imagery data.
  • Prepare and engineer geospatial data (imagery, map data, sensor/traffic signals) as AI feature-engineering input  framed as an AI capability, not classic GIS infrastructure.
  • Support training, evaluation, and fine-tuning work for geospatial foundation models under senior engineers' architectural direction.
  • Hand off working components cleanly to MLOps for production serving, with enough documentation and testing that another team can build on them without you in the room.

• Master's degree (or equivalent experience) in Computer Science, AI, Machine Learning, Geospatial Science, or a related field.
• 2–4 years of experience in ML/AI engineering, ideally with some hands-on exposure to geospatial or imagery data or strong ML fundamentals with a genuine aptitude and interest in ramping into the spatial domain.
• Solid Python and software engineering fundamentals: testing, code quality, version control.
• Collaborative by default comfortable taking direction from senior/lead engineers on architecture while owning your own implementation.

• Experience with at least one deep learning framework (PyTorch or TensorFlow).
• Practical experience with embeddings, similarity search, or retrieval-based systems.
• Working familiarity with foundation-model concepts  self-supervised learning, fine-tuning, transfer learning.
• Comfortable working with imagery or other high-volume spatial/sensor data.

• Exposure to multi-sensor imagery (optical, infrared, radar/SAR) and common geospatial data formats.
• Experience with distributed training or large-scale data pipelines.
• Some exposure to agentic or multi-stage pipeline systems (not necessarily production-scale).

Nice to HaveExposure to LiDAR, drone data processing, TinyML/edge AI, vector databases, or Go/Java/C++ — useful for accelerating impact inside HERE's mapmaking-AI ecosystem, though not required to apply.

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.