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For Companies At a Glance
- Tasks: Lead the AI platform, develop scalable ML solutions, and mentor junior engineers.
- Company: On is a dynamic company focused on enhancing technology to fuel growth and ignite human spirit.
- Benefits: Enjoy a collaborative culture, opportunities for innovation, and the chance to work with cutting-edge tech.
- Why this job: Join us to tackle complex challenges and make a real impact in e-commerce and supply chain operations.
- Qualifications: Deep expertise in ML, experience with cloud platforms, and strong leadership skills required.
- Other info: Be part of a team that values learning, growth, and staying at the forefront of AI advancements.
The predicted salary is between 54000 - 84000 £ per year.
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.
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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Principal Machine Learning Engineer employer: ON RUNNING
Contact Detail:
ON RUNNING Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with On's current AI initiatives and projects. Understanding their existing technology landscape will help you align your experience and ideas with their goals, making you a more attractive candidate.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led machine learning projects in the past. Be ready to discuss your approach to mentoring junior engineers and promoting best practices in AI/ML.
✨Tip Number 3
Stay updated on the latest trends and advancements in machine learning, especially in areas relevant to e-commerce and supply chain optimization. This knowledge will demonstrate your commitment to innovation and your ability to drive impactful solutions.
✨Tip Number 4
Prepare to discuss your experience with cloud-based platforms like GCP or AWS. Highlight specific projects where you've deployed machine learning models in these environments, as this expertise is crucial for the role.
We think you need these skills to ace Principal Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Principal Machine Learning Engineer position at On. Tailor your application to highlight your relevant experience in machine learning, technical leadership, and cloud platforms.
Highlight Your Expertise: In your CV and cover letter, emphasize your deep machine learning expertise, including specific projects where you've designed, developed, and deployed models. Mention any experience with recommendation systems and your familiarity with cloud-based platforms like GCP or AWS.
Showcase Communication Skills: Since exceptional communication is key for this role, provide examples in your application that demonstrate your ability to convey complex technical information clearly. Highlight any mentoring or leadership experiences that showcase your interpersonal skills.
Tailor Your Application: Customize your cover letter to reflect your passion for AI/ML and your commitment to best practices in model development. Discuss how you can contribute to On's mission and culture, and express your enthusiasm for driving innovation within the company.
How to prepare for a job interview at ON RUNNING
✨Showcase Your Deep Learning Expertise
Be prepared to discuss your experience with designing and deploying machine learning models, especially in production environments. Highlight specific projects where you've successfully implemented deep learning, natural language processing, or computer vision techniques.
✨Demonstrate Technical Leadership
Share examples of how you've led complex machine learning initiatives. Discuss your approach to providing technical guidance to teams and how you’ve managed large datasets to build scalable systems.
✨Familiarize Yourself with Cloud Platforms
Since cloud-based platforms like GCP and AWS are crucial for this role, be ready to talk about your experience with these technologies. Discuss any specific projects where you've deployed and managed models in a cloud environment.
✨Communicate Effectively
Prepare to convey complex technical concepts clearly and concisely. Practice explaining your work to different audiences, from junior engineers to senior leadership, to demonstrate your exceptional communication skills.
