The HERE NDS Technologies team is looking for a Lead AI/ML Engineer to drive NDS mapping systems. You will lead the design and development of production-grade machine learning models, pipelines, and services that power NDS HD Live Maps, ADAS and IVI maps including automated data ingestion. Your responsibilities span the entire AI/ML engineering lifecycle.
As a Lead AI/ML Engineer, you will:
- Provide technical leadership in designing, developing, and deploying ML solutions used to create high-definition, ISA and ADAS maps.
- Own and drive end-to-end ML system architecture, including data preprocessing, model training, inference pipelines, deployment, monitoring, and scaling.
- Lead innovation and develop models based on computer vision, NLP, deep-learning and machine learning
- Build systems using Agentic AI, Generative AI, and foundational ML techniques.
- Build ML systems that are scalable, reliable, reproducible, and optimized for production environments (on-cloud or in-vehicle).
- Implement MLOps practices: CI/CD for ML, model versioning, feature stores, drift detection, experimentation frameworks.
- Own one or more ML or data components within the broader mapping/routing ecosystem.
- Collaborate with platform and backend teams to integrate ML outputs into map compilation workflows.
- Work on feature requirements, model behavior, accuracy expectations, and performance characteristics.
- Conduct code reviews, architecture reviews, and share best practices in ML engineering.
- Champion efficient, reusable, high-quality code; drive continuous improvement in ML development processes.
- Overall 8+ years of experience in backend software development using Java/Scala/Python
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Mathematics, or a related quantitative field.
- 3+ year experience in machine learning engineering, applied ML, data engineering, or backend systems with ML components.
- Strong development experience in using RAG, Vector DB, LangGrapg, LangChain, CrewAI
- Proven experience building end-to-end ML systems
- Strong understanding of ML algorithms, deep learning, data structures, algorithms, and software engineering principles.
- Experience with SQL/NoSQL databases
- Experience with building system using GenAI/Agentic AI
- AWS (S3, EMR, Lambda, SageMaker or similar ML platforms) is a plus
- Docker/Kubernetes, CI/CD, Jenkins
- Experience with MLOps tooling and practices is a strong advantage.
- Able to translate business requirements into scalable ML system designs.
Preferred Experience
- Working with map data formats (NDS, GIS, RDF, GDF), HD lane models, or location-based datasets.
- Experience with ETL pipelines, data transformation, and large-scale data engineering.
- Deep understanding of building high-precision map or routing models.
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.
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Who are we?
Ever checked in somewhere on social media? Ever tracked your online orders?” You might be using HERE Technologies every day without even realizing it. You can find our software everywhere: in vehicles, smartphones, drones, or third-party apps. We believe that with the right people, we will continue to be a game-changer in the technology industry and improve the daily lives of people around the world. Find out more by clicking the video below or this link.
Join our fast growing, highly motivated NDS (Navigation Data Standard) team. As a member of our team, you will have the opportunity to dive deep into how we capture the real world, how this is reflected in our reality index, and work with the team on how this data goes straight into cars with our NDS deliveries. We work with Agile practices and co-operate with numerous different teams inside and outside of the company. Our team delivers digital maps in NDS formats to multiple automotive customers where the data is going straight into cars to power IVI, ADAS and autonomous driving uses cases.
As a member of our team, you will work at the intersection of AI/ML and the various NDS mapping products. You will dive deep into how the real world is captured, interpreted, and transformed into the digital maps that go into vehicles—enabling advanced navigation and autonomous driving.
