Senior Machine Learning Engineer (All genders)

Berlinonsitesenior

Posted today · via Workday

About this role

THE ROLE & THE TEAM We are looking for a Senior Machine Learning Engineer to enhance Zalando’s recommendation ML systems, making them more scalable, efficient, and impactful. You will play a key role in productionizing ML models, optimising pipelines, and ensuring seamless deployment of high-performing recommendation systems. Working closely with Applied Scientists, Product and Software Engineers, you will help shape the future of personalized shopping experiences for millions of customers. WHAT WE’D LOVE YOU TO DO (AND LOVE DOING) Build and optimise ML pipelines for training, deploying, and monitoring recommendation models. Productionize ML models by orchestrating workflows (Apache Airflow) and deploying scalable, reliable solutions on AWS for real-time and batch inference.…

Read the full description on Zalando SE's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, databricks, aws, sagemaker, cloudformation…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Berlin. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythondatabricksawssagemakercloudformationkubernetespysparkairflowpytorch

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