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Senior Machine Learning Engineer

VOI Technology

VOI Technology

Software Engineering
Stockholm, Sweden
Posted on Dec 2, 2024
Research & Development · Stockholm · Hybrid Remote

Senior Machine Learning Engineer

Since 2018, Voi has been on a mission to create safe, sustainable and reliable micromobility for everyone. Today we are the #1 e-scooter service in Europe, operating in 100+ cities with over 275+ MILLION rides to date. It has been an amazing journey and we have no intention of stopping now!

As a Senior Machine Learning Engineer, you will play a critical role in designing, building, and maintaining machine learning models across key business areas. Your work will involve tackling challenges that draw on your expertise in interconnected fields such as software engineering, data engineering, data science, and machine learning. Ultimately, you will drive and contribute to solutions addressing some of our most important challenges, including maximizing availability, reliability, and safety. You will join a team uniquely positioned to ensure our users always have a scooter nearby when and where they need it. Additionally, you will play a pivotal role in anticipating and addressing vehicle maintenance needs early, which is essential for delivering an exceptional riding experience.

YOUR MISSION AT VOI

  • You will be an integral part of a cross-functional product team, contributing to end-to-end machine learning projects. This includes starting with a business problem, developing solution hypotheses, defining data requirements, creating prototypes, implementing solutions in production, and measuring their business impact
  • Self-sufficiently drive and develop production-grade models with an emphasis on reliability and scalability. Collaborate with the product manager to prioritize solution paths, ensuring a focus on delivering the greatest business impact
  • Enhance and maintain our machine learning platform, ensuring that Voi’s machine learning products adhere to state-of-the-art MLOps standards
  • Influence and introduce strategic topics, including decisions on tech stack, enhancements to team workflows, and collaborative prioritization of product directions with the product manager, based on feasibility and anticipated business impact.
  • Guide, coach, and collaborate with colleagues to enhance team and functional workflows, fostering a culture of mutual support, continuous learning, and knowledge sharing

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:

  • A higher education degree in a mathematical science such as computer science, mathematics, physics, bioinformatics, or a similar data-focused field
  • A strong business sense with laser focus on business value and user impact
  • Fluency in Python in particular and software engineering practices in general
  • Documented experience of working with MLOps in GCP (preferred), AWS, or Azure
  • Documented experience in developing production-quality software
  • 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 Voiage 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 Europes #1 micromobility company
  • Get “skin in the game” through our employee options program and be a part of building a world class organisation
  • Work with inspiring, motivated and fun colleagues towards a common goal
  • Join the micromobility-revolution and be a part of creating sustainable cities made for living, free from noise and pollution
Business area
Research & Development
Locations
Stockholm
Remote status
Hybrid Remote
Employment type
Full-time
Contact Niklas Lindeborg Talent Acquisition Partner – Business Operations

Stockholm

Our values

Push boundaries - Dare to design the future of mobility

Build with empathy - Create long-lasting, sustainable impact

Ride together - Collaborate with the ambition of changing the world

    About Voi Technology

    Founded in 2018, Voi is a Swedish micromobility company offering e-scooter and e-bike sharing in partnership with towns, cities and local communities. We believe e-scooters can play a central role in changing how people move in our towns and cities in the future. We want to ensure that the micromobility transformation happens the right way - through real innovative technology, open and transparent dialogue with towns, cities and governments and by adapting our products to local needs. Voi’s holistic Environmental Action Plan tackles emissions and promotes renewable energy use and circularity along its supply chain.

    Voi operates in over 100 towns and cities across 12 countries. It is headquartered in Stockholm and employs around 1000 people. To date, Voi boasts more than seven million riders and has served more than 180+ million rides.

    DIVERSITY MATTERS

    We believe that having a wide diversity of people with different backgrounds and perspectives within Voi is essential to our success in delivering the best user experience to our equally diverse user base. With employees from over 50 nationalities working within Voi, we believe we have made good progress but know we can still do more. Regardless of your gender, background, or sexual orientation, we welcome applications from whoever you are including those actively serving as a Reservist or those who have served in the military and their spouses - what’s important for us is what skills and value you can bring to the Voi team. And of course that you’re a great Voi culture add! Therefore we actively discourage any photos, personal letters, or disclosure of any information that concerns other information than your professional experience.

    Research & Development · Stockholm · Hybrid Remote

    Senior Machine Learning Engineer

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