TomTom - Applied Scientist

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Production experience - Applied Scientist/Machine Learning

Which option best describes your experience taking machine learning or algorithmic solutions into production?✱
- I independently owned the full lifecycle, from designing/prototyping through deployment, monitoring, and ongoing production support.
- I played a major hands-on role across most stages, but shared ownership of deployment or production operations with others.
- I developed models or algorithms and contributed to production integration, but deployment and ongoing operations were mainly owned by other teams.
- My experience is primarily research, academic projects, proofs of concept, or prototypes that were not deployed to production.
- I do not yet have experience taking machine learning or algorithmic solutions into production.
If you have production experience, briefly describe one machine learning or algorithmic system you worked on. What problem did it solve, what did you personally design or build, how was it deployed, and what responsibility did you have once it was in production?

Software Engineering capability - Applied Science/ML

Which statement best reflects your hands-on programming experience? Select all that apply.✱
- I regularly use Python for data analysis, experimentation, or model prototyping.
- I have written production-quality Python used in live services or pipelines.
- I have written production-quality Java used in live services or pipelines.
- I have written production-quality code in another statically typed language, such as C++, C#, Kotlin, Scala, or Go.
- I have converted a prototype or experimental algorithm into maintainable production code.
- My programming experience is mainly limited to research notebooks, scripts, or academic projects.
- I do not have hands-on software development experience.
- Other
If you selected “Other,” please briefly describe your programming experience, including the language(s) or technologies you have worked with and how you used them.

Location and office attendance

Are you able to work from the TomTom office associated with this position at least twice per week?✱
- I currently live in or near the city where the TomTom office associated with this position is located, and I can attend the office at least twice per week.
- I live further away, but I am able and willing to commute to the office at least twice per week.
- I am currently relocating or planning to relocate closer to the office and will be able to attend at least twice per week after relocation.
- I would be able to attend the office occasionally, but not at least twice per week.
- I am looking for a fully remote position and would not be able to attend the office regularly.
- Other
If you selected “Other,” please briefly clarify your location and ability to attend the TomTom office associated with this position.

Demographic Survey

Why are we collecting this information? We are asking you for the gender you most closely identify with, so that we are able to measure and report on our ongoing Diversity & Inclusion efforts. Providing this information (or not providing it) will not affect your application for employment, or be considered by TomTom as a part of its hiring decision.

What gender do you most closely identify as?
- Female
- Male
- Non-binary
- Other
- Prefer not to say

- TomTom has my consent to retain my data for the purpose of considering me for employment and for up to 2 years thereafter. I understand I may withdraw my consent at any time.
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