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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist Engineering Maps ADAS & ADS - **Company:** TomTom International BV - **Location:** Madrid, Spain (Remote available) - **Salary:** €45,000.0 - €70,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Algorithm Design, Computer Vision, Big Data, Data Structures, Python (Programming Language), Machine Learning, Tensorflow, Signal Processing, Pytorch, Apache Spark, Indexer, Information Technology, Machine Learning Operations, Data Pipelines, Databricks - **Published:** June 12, 2026 - **Apply:** https://www.jobleads.com/job/ef11f2eb973ee682e0c3c3d6141d7edd6 ## About the Role * 3+ years of professional experience in applied science or machine learning. * Solid fundamentals in algorithm design and analysis. * Experience with ML frameworks and large-scale data processing. Responsabilidades * Develop high-quality algorithms and ML software for HD maps. * Contribute to the design and integration of algorithms within the team. * Tackle complex technical problems at scale., Algorithm Development Python Data Structures Geospatial Geometry Signal Processing Educación Bachelor's degree in Computer Science or related field Master's or PhD preferred, * 3+ years of professional Applied Science, Machine Learning, algorithm development, or related experience. * Bachelor's degree (minimum) in Computer Science, Machine Learning, Computer Vision, Geospatial Science, Statistics, or a related quantitative field. Master's or PhD a plus. * Solid fundamentals in algorithm design and analysis: data structures, complexity reasoning, and applied algorithms for geospatial and signal-processing problems. * Solid fundamentals in machine learning: model training and evaluation, statistics, and experimental design. * Proficiency in Python; experience with at least one ML framework (PyTorch, TensorFlow, or equivalent) and at least one large-scale data processing framework (Spark, Databricks, or equivalent). * Experience taking algorithms, ML models, or data pipelines into production, not just running experiments offline. * Breadth across applied science: comfortable working across algorithms, modeling, evaluation, ground truth quality, and methodology. You should be able to pick up a new sub-domain quickly rather than only operating in a single area of expertise. * Working familiarity with several of the following (in depth experience is not needed): algorithm design for geospatial and geometric problems (polygon geometry, map-matching, spatial indexing), classical ML and clustering on noisy sensor data, computer vision (detection, segmentation), data and ML pipelines at scale (training pipelines, MLOps, dataset generation). * Comfortable with written and verbal communication in English. * Curiosity and desire to learn, and to expand your skill set across the ML stack. * Ability to solve a complex problem on your own by leveraging experience, peers, and other resources. ## Description TomTom International BV is seeking an experienced professional for the ALF (Localization Features) team to develop ML algorithms for ADAS enhancing HD maps. With a focus on real-time location intelligence, you will work alongside scientists and engineers to integrate algorithms and tackle complex problems. A Bachelor's degree and 3+ years in applied science or a related field are essential, with preference for advanced degrees., You'll join the ALF (Localization Features) team within TomTom's ADAS & ADS Product Unit, which develops the HD maps and ADAS technology that powers real-time location intelligence for major automotive and tech companies. ALF is responsible for the localization features layer of the HD map and the ML systems that extract them from real-world sensor data at world scale. You'll work shoulder-to-shoulder with applied scientists and software engineers, partner with adjacent teams, and own the quality trajectory of features that ship to customers under product targets. What you will do: * Work with a team of senior engineers and applied scientists to develop high-quality algorithms and ML software that powers TomTom's HD maps for ADAS. * Contribute to the design, implementation, and integration of algorithms, ML systems, and data pipelines within your area of focus, from problem framing through experimentation to production rollout. * Contribute to measurable improvements in output quality (recall, precision, latency, cost) against hard customer-facing targets. * Own well-scoped components within the team's processing pipelines, from upstream input data through algorithmic and ML processing to validated outputs published to downstream consumers. * Tackle complex technical problems at scale: noisy upstream signals, geospatial geometry, ground truth quality, and large-scale evaluation pipelines. * Build iteratively using agile methodologies and rigorous experimentation; document outcomes so the team can build on them. * Support junior engineers and interns, and contribute to hiring as an interviewer. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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