Software Engineer ML Platform Infrastructure all genders
Software Engineer ML Platform Infrastructure all genders
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Job Description
As part of our team youll play a key role in developing and maintaining the ML Platform that powers machine learning at Zalando. We own a suite of critical tools and servicesincluding the model registry AI inventory our internal ML infrastructure framework (MLI) and the central feature storethat support 35 ML teams and over 300 Applied Scientists across the company.
Your work will directly impact how teams across Zalando build manage and scale their ML solutions. From enabling reproducible experimentation to managing productionready features and models youll contribute to systems that ensure our ML practitioners can move fast without compromising on quality safety or reliability.
This is a highly collaborative role where youll interface with a broad range of product domains providing the tooling and infrastructure that help ML Engineers focus on what they do best: building models that enhance our customer experience. Youll work with a modern tech stackincluding Python Kubernetes Airflow Ray and distributed computing technologieson infrastructure that supports thousands of models and workflows companywide.
Joining us means being part of a team that values operational excellence innovation and developer experience. Youll help shape the future of ML at Zalando building robust platforms that scale with the company and unlock the full potential of AI.
This role offers a unique opportunity to work on systems that power critical customerfacing services ensuring efficient and secure traffic delivery at massive scale. Youll collaborate with experienced engineers continuously improving performance and operational excellence across our service landscape.
Be part of a team where your contributions drive significant technological advancements impacting millions of customers across Europe.
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.
our diversity & inclusion strategy: employee resource groups: WED LOVE YOU TO DO (AND LOVE DOING)
Design build and maintain critical components of Zalandos ML platform ensuring it is scalable reliable and efficient for 35 ML teams and 300 Applied Scientists.
Develop and enhance the model registry AI inventory central feature store and ML infrastructure framework (MLI) to streamline the entire ML lifecyclefrom experimentation to production.
Optimize the platform for performance scalability and operational excellence reducing complexity and improving developer experience.
Take ownership of key infrastructure projects leading design discussions mentoring team members and driving crossfunctional initiatives.
Promote best practices in CI/CD observability monitoring and infrastructureascode ensuring smooth and reliable ML model deployment.
Actively contribute to an engineering culture of learning innovation and knowledge sharing collaborating across teams to improve the overall ML ecosystem at Zalando.
WED LOVE TO MEET YOU IF YOU
Have a solid foundation in Python with a desire to expand your skills in designing and developing productionready applications especially those that support MLOps.
Have a foundational understanding of Kubernetes concepts and a strong interest in learning to design deploy and manage applications within clusters.
Have good understanding of AWS services (including but not limited to SageMaker Bedrock EC2 Lambda CloudFormation) and experience designing solutions that involve these services.
Write clean simple readable testable and maintainable code with a focus on performance and scalability.
Have experience in CI/CD practices logging and monitoring and are committed to operational excellence in largescale environments.
Exhibit a strong desire to learn and grow in the field of infrastructure technologies with a specific interest in MLOps and machine learning workflows.
Are an excellent communicator with strong verbal and written communication skills in English able to explain complex technical concepts to both technical and nontechnical audiences.
Strive to write clean maintainable and testable code with a focus on learning best practices for performance and scalability.
Bonus: Experience with Ray or distributed systems is a plus.
Bonus: Previous experience with platform/infrastructure teams.
If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles.
OUR OFFER
Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. Learn all about Zalando and our values here: shares program
40 off fashion and beauty products sold and shipped by Zalando 30 off Zalando Lounge discounts from external partners
2 paid volunteering days a year
Hybrid working model with 60 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 to start
Relocation assistance available (subject to prior agreement)
Family services including counselling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
INCLUSIVE BY DESIGN
At Zalando our vision is to be inclusive by design. 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.
Our Diversity & Inclusion strategy: Employee Resource Groups:
Employment Type
Full-Time
