🕒 9 days ago
Build and productionize machine learning models for knowledge extraction, entity resolution, and graph-based learning, partnering with engineering teams to integrate ML systems into intelligence products.
Senior Applied Scientist
🕒 8 days ago
Applied ScienceMachine LearningAlgorithm DevelopmentComputer Vision
📜 Description
- Develop algorithms and machine-learning solutions for traffic signs, traffic lights, road markings, and other traffic-control features.
- Build production solutions that extract reliable map information from large-scale, noisy sources such as car sensor data and unstructured information.
- Improve feature detection, positioning, and association with the correct road, lane, and driving direction.
- Own parts of production pipelines from input data and feature extraction through evaluation and validated map output.
- Run experiments, evaluate map quality, and translate successful approaches into production solutions.
- Mentor junior colleagues, review code, contribute to hiring, and document outcomes.
🛠️ Requirements
- 4+ years of professional experience in applied science, machine learning, algorithm development, computer vision, or a related field.
- Bachelor's degree or higher in a quantitative field such as computer science, machine learning, computer vision, geospatial science, or statistics; a Master's or PhD is a plus.
- Strong knowledge of algorithms and machine learning, including model development, evaluation, statistics, and experimental design.
- Proficiency in Python, an ML framework such as PyTorch or TensorFlow, and large-scale data tools such as Spark or Databricks.
- Experience taking algorithms, ML models, or data pipelines from experimentation into production.
- Experience leading well-scoped technical projects and mentoring junior colleagues.
- Strong problem-solving skills, independent approach to complex problems, and proficient written and verbal English.
✨ Benefits
- A competitive compensation package, of course.
- Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local
- Improve your home office with a setup budget and get extra support with a monthly allowance.
- Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends
- Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
- Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
- Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities
- Find out more about our global benefits and enjoy additional local benefits tailored to your location.
Full job description
Meet the team
You’ll join the Traffic Control Features team within TomTom’s Automated Driving organization. The team builds the technology that turns real-world observations into reliable map information about traffic signs, traffic lights, stop lines and road markings.
You’ll work with applied scientists and software engineers to develop algorithms and machine-learning solutions that detect, position and connect these features to the right roads and driving directions. The goal is to deliver accurate, scalable map content that supports navigation and advanced driving experiences. TomTom measures these features using quality dimensions such as recall, precision, and road-relation accuracy.
What you will do:
What you will need:
Similar jobs
Search more Machine Learning Engineer jobs
Machine Learning Researcher - Narratologist
🕒 10 days ago
CD PROJEKT RED👥 51 - 200 employees🏢 Computer Games
🕒 10 days ago
Researcher developing machine learning systems for computational narratology, analyzing narrative text and advancing NLP models for game development through experimentation, cloud training, and demo deployment.
🕒 11 days ago
Build and productionize machine-learning models that analyze ad visuals, audio, and text across languages, improving brand safety, moderation, creative generation, and advertising outcomes at scale.
Senior Machine Learning Engineer - Applied AI & LLMs (x/f/m)
🕒 yesterday
Doctolib👥 1001 - 5000 employees🏢 Computer Software
🕒 yesterday
Build and lead production-scale AI systems for patient-facing healthcare products, developing retrieval pipelines, LLM and VLM applications, and agentic systems while guiding technical standards and product decisions.
🕒 9 days ago
Own the end-to-end development of in-cabin vision models, from data curation and training to evaluation and deployment, supporting passenger understanding, rider safety, and reliable robotaxi operations.