In short

In the dynamic landscape of On, Data and Machine Learning play a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement.

Your Mission

  • Lead the AI Platform Domain: Provide technical leadership and architectural vision for On's AI platform. Drive the strategy, development and implementation of scalable, reliable, and efficient machine learning solutions.
  • Solve Complex Challenges: Tackle On's most challenging problems using cutting-edge machine learning techniques. Develop and deploy models that optimize e-commerce experiences, streamline supply chain operations, and unlock new business opportunities. This includes building impactful recommendation systems and contributing to data-driven product development.
  • Champion AI/ML Best Practices: Be a passionate advocate for AI/ML within On. Promote best practices in model development, deployment, and monitoring. Educate and mentor other engineers and data scientists on the latest advancements in the field.
  • Collaborate and Mentor: Work closely with data engineers, data scientists, and product teams to integrate machine learning solutions into On's technology ecosystem. Mentor and guide junior engineers, fostering a culture of learning and growth.
  • Drive Innovation: Stay at the forefront of machine learning research and development. Identify and evaluate new technologies and techniques to enhance On's AI capabilities.
Group of girls smiling
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera

Your story

  • Deep Machine Learning Expertise: You possess extensive experience in designing, developing, and deploying machine learning models in production environments. You have a strong theoretical foundation and practical expertise in areas such as deep learning, natural language processing, and computer vision. You are a hands-on builder with a proven track record of developing and deploying successful machine learning solutions, including recommendation systems.
  • Technical Leadership: You have a proven track record of leading complex machine learning initiatives and providing technical guidance to engineering teams. You are comfortable working with large datasets and building scalable, high-performance systems.
  • Cloud and Platform Expertise: You are familiar with cloud-based machine learning platforms (e.g., GCP, AWS) and have experience deploying and managing models in these environments.
  • Exceptional Communicator: You have outstanding communication and interpersonal skills, allowing you to effectively convey complex technical information to diverse audiences, from junior engineers to senior leadership (up to the Director level). You are passionate about sharing your knowledge and mentoring others.
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About the Team

You will be part of a talented and diverse team of data engineers, data scientists and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We are building innovative machine learning solutions to optimize internal processes, enhance customer experiences, and drive business growth in areas ranging from e-commerce to supply chain optimisation. As the most senior IC ML expert, you will play a critical role in shaping our AI strategy and mentoring other engineers.

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A man in a blue shirt and a white t-shirt with a headset on is standing with his arms crossed and holding his chin looking into the distance

Explorer

Explorer

Woman laughing as she plays ping pong in the office!

Our team exists to think differently. Wild curiosity and a thirst for knowledge keeps moving our tech forward. There are no boxes here. We’re always dreaming of what’s possible – and searching for new ways to get there. 

Learn about out Spirits
  • Portrait of a woman smiling in the On Zürich office

    Gioia

    Technical Product Team, Zürich

    My journey has evolved for sure and, actually, change can lead to infinite possibilities. Those core values that were there when I joined are still here today and I really find them extraordinary every day.
  • A man standing in a modern office looking at the camera, smiling slightly.

    Vivek Juneja

    Engineering, Berlin

    We’re closely connected to the whole business. Every day, we’re making quick decisions to improve the customer experience. Because these live changes impact the whole business, we deeply respect individual opinion and what others think about the end customer experience.
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What we offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.