Staff Machine Learning Engineer

YOUR MISSION AT VOI

As a Staff Machine Learning Engineer, you will play a crucial role to design, build and maintain machine learning models for all our business areas. You will work on problems where you will get to utilize your skills in such interrelated disciplines as machine learning, software engineering, data science, data engineering as well as prompt and AI/API engineering. In the end, you will drive and contribute to solutions of some of our key problems around vehicle availability, reliability & safety, user experience personalisation and parking. You will primarily be working in a team focused on predicting the future demand for our vehicles. Specifically where and when they will be needed. Further, you will have a big impact on anticipating and acting early on a vehicle's maintenance needs, which plays a key role in the good user riding experience.

Your responsibilities will include:

• As an embedded member of a cross-functional product team, you will be responsible for end-to-end machine learning and AI projects. This includes everything from identifying business problems and formulating solution hypotheses, to defining data requirements, prototyping, implementing solutions in production, and measuring their business impact.
• Maintain and improve Voi's machine learning platform to ensure our machine learning products adhere to state-of-the-art MLOps standards, with support from the team
• Work with colleagues to improve team processes and support mutual learning and knowledge sharing

Further, for the staff level the responsibilities will include:

• Actively contribute to setting strategy and goals on the R&D level, utilising both your strategic lens on engineering and deep understanding of business priorities.
• Drive architecture and system design across multiple teams, influence strategic engineering decisions and direction across R&D
• Work closely with product leadership to influence product direction, and translate that into the right strategic technical decisions for parts of the tech stack outside of their immediate team
• Drive the advancement of ML and AI excellence throughout Voi, encompassing both skill development and refinement of processes and workflows.

WHAT YOU NEED TO EMBARK

We're looking for a Machine Learning professional with experience from working in a fast-paced environment. In addition to being fluent in English, we believe the right person has:

• Higher education in one of the mathematical sciences such as computer science, mathematics, physics, bioinformatics or with a similar, data centric, degree
• A strong business sense with laser focus on business value and user impact
• Fluency in Python and software engineering in general
• Documented experience in developing production-quality software
• Experience of working with real-time inference and/or MLOps in one of the major cloud environments
• Experience of working on edge machine learning and computer vision is a bonus
• Hands-on contribution to managing projects from start to finish – from tackling business challenges to planning, building, launching, and keeping an eye on the results.

WHY VOI?

Working at Voi is more than just a job; Our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you'll have the opportunity to:

• Join Europe's #1 micromobility company
• Get "skin in the game" through our employee options program and be a part of building a world class organisation and a scalable ML function
• Enjoy unlimited free Voi ride
• Voi is a multicultural company with employees from all over the world, which is something we value deeply. With a flexible public holiday policy, you have the opportunity to choose which holidays, religious or cultural, you want to celebrate
• We do hackdays and lab days to inspire growth and explore new solutions to problems. We hope to see creative ideas to tackle hard problems that you find important to solve with colleagues outside your inner team.
• While everyone is encouraged to meet their colleagues at the office, we do have a hybrid setup when it comes to remote work in order to find the optimal work-life-balance.

• Join the micromobility-revolution and be a part of creating sustainable cities made for living, free from noise and pollution