Senior Machine Learning Engineer - Content Solutions (All Genders)
ABOUT THE TEAM
Department: Content Creation
Reports to: Engineering Manager
Team Size: 12
THE ROLE & THE TEAM
We are seeking a highly skilled and entrepreneurial Senior Machine Learning Engineer with expertise in image generation and computer vision to join the content technology team. In this role, you will develop solutions that allow our business to stay competitive and innovative. With our tight integration into the Zalando value proposition chain our goal is to build content production tooling that has the potential to shape the future in this field.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
WHY YOU SHOULD BE INTERESTED…
You will support content solutions to build realistic and inspirational product displays and descriptions using Machine Learning technology
You will assess different solutions, tools or AI models regarding their fit to our use cases, acting as a innovator, consultant, decision maker and developer
You will integrate AI solutions into our infrastructure
You will collaborate with cross-functional teams, including product and management, to build AI based or algorithmic solutions to critical customer challenges
We offer the opportunity for you to communicate research findings, capabilities, and deliverables to diverse audiences
You’ll have the chance to demonstrate strong entrepreneurial skills in promoting and presenting research results convincingly
We offer you the opportunity to deeply understand our business and connecting state-of-the-art technology to real-world applications
WE’D LOVE TO MEET YOU IF…
You are convincing your colleagues with strong software development skills using Python. Experience in other programming languages like Kotlin or Java is a plus
You have a degree in Computer Science, Engineering, or a related technical field
You bring experience in ETL pipelines, AWS Sagemaker, Bedrock and machine learning in general.
You have excellent communication, presentation, and interpersonal skills
You come with an entrepreneurial mindset with ability to innovate, influence, and drive results
A passion for understanding business needs and leveraging technology to solve customer problems is what drives you
You have a solid understanding of (AWS) cloud computing with Docker
You are proficient in SQL, including query optimisation and performance tuning
GOOD TO HAVE
- 3D Representation Knowledge: Understanding of various 3D representation methods, including implicit, explicit, and parametric approaches. The candidate should be able to apply these representations effectively in 3D computer vision tasks.
- Programming Skills: Experience using deep learning frameworks such as PyTorch, Keras, and TensorFlow to develop and implement solutions using generative artificial intelligence
- Experience in the areas of generative and discriminative modelling
- Adaptability: Willingness and ability to stay current with the latest developments in deep learning, 3D computer vision, and related technologies, and to quickly adapt to new tools and methodologies.
Zalando Benefits
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
1 paid volunteering days a year
Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year (for Zalando SE)
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
ABOUT ZALANDO
It’s the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 25 markets.
Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 50 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.
Please note that all applications must be completed using the online form - we do not accept applications via email.