Help evolve the Orbis Road Model Map and the Orbis Lane Model Map by transforming high-fidelity, high-volume data into map content
Design and develop algorithms that extract actionable insights from massive datasets
Work with one of the largest traffic data streams worldwide to improve mobility systems
Take ownership of the full lifecycle of software projects
Support production environments to guarantee operational excellence of the systems built
Collaborate closely with Software Engineers and Product Managers

A university-level degree in Machine Learning, Computer Science, or a relevant field
5+ years of industry experience developing production-grade code with proficiency in Java and Python
Proven track record in solving business problems through ML solutions (e.g. Computer Vision, classic ML algorithms)
Strong skills in Software Engineering, both in greenfield projects and optimizing existing systems
A collaborative team player who thrives in an international environment with strong written and verbal communication skills in English

A competitive compensation package
Time and resources to grow and develop, including a personal development budget and paid leave for learning days
Paid access to e-learning resources such as O’Reilly and LinkedIn Learning
Enhanced parental leave plus paid leave to care for loved ones
Paid leave for volunteering in local communities
Work flexibility with a mix of office and home work
Improve your home office with a setup budget and extra support with a monthly allowance
Options to work from your home country and abroad for a set number of days each year
Competitive holiday plan plus an extra day off to celebrate your birthday
Annual events like Hackathon and DevDays to bring ideas to life

Applied Scientist

Key skills