Amsterdam, Netherlands
June 30, 2022
Apply NowJob description
What you’ll do
You will be working in a central team applying machine learning to challenges where it can make drastic impact
You will work with a variety of product teams across TomTom specifying mapping, navigation, and innovative technology
Proactively collaborate with stakeholders from product teams across TomTom including product management, software development and data science.
Translate specific business problems into ML challenges and identify the best approach within the constraints of the production environment.
Craft production-grade machine learning code, from models to features and pipelines, allowing for scalability, monitoring and retraining.
Support and mentor your team members.
Contribute to advancing Data Science as a discipline within TomTom.
Stay up to date with state-of-the-art methods, introduce them to the TomTom community and promote their use in areas where they can generate impact.
You’ll be able to shape the future of TomTom by using your machine learning engineering skills to improve our products
What you’ll need
Bachelor’s/Masters in Computer science, Mathematics, Statistics, or equivalent field
2+ years of hands-on experience in Data Science and data driven software development, ideally at a product-focused software company
Strong level of proficiency with Python
Experience working with technologies for large-scale data collection and data processing (e.g., Spark, Hadoop, Hive)
Experience with Machine Learning development tooling (e.g., Sklearn, PyTorch, Tensorflow).
Familiarity with shipping models and/or services to production and related best practices (i.e., DevOps/MLOps)
Broad set of technical skills: relational and NoSQL databases, command line tools, engineering best practices
Strong problem-solving skills
Excellent written, verbal and presentation skills
Nice to have
Experience running large-scale Machine Learning systems in production.
Familiarity with Azure technologies (e.g. Databricks, Azure ML, Azure DevOps)
Hands-on experience with modern approaches to multi-GPU training (e.g. Horovod) and data loading (e.g. Petastorm)
Working experience with large-scale geospatial or automotive data
Meet your team
The Applied Machine Learning team is part of the central Data Unit. We are at the forefront of using machine learning methods to build state of the art products in the mapping and navigation domains. We support teams across the organization to obtain end user value through the deployment of advanced algorithmic and MLOps approaches. We are driving the data transformation of TomTom that help us better engage with our customers, empower our colleagues, optimize our operations, and reinvent our products and business models. You will enjoy working with one of the richest data sets in the world of mapping and navigation, innovative technology, and the ability to see your work turned into real products.
What we offer
Competitive compensation package.
Work flexibility program (Working @ TomTom) - work from both home and the office!
Home office benefits, with a setup budget and a monthly allowance to support.
Chance to work abroad for 90-calendar days in select countries and states!
Holiday package that includes your birthday off and a volunteering day per year.
Bring your ideas and innovation to life during our Hackathon, DevDays, and more!
Take on learning opportunities – internal programs, O’Reilly and LinkedIn learning.
The opportunity to join one of the few top tech location specialists and have an impact on the future of mobility.
Be part of a supportive, inclusive, and global culture.
