Senior Machine Learning Engineer (All genders)

United States Digital Space LLC; Berlin; Vor Ort; EUR 90.000 - 125.000; Vollzeit

Benefits dieser Stelle

Employee shares program

Vacation days 27+

Relocation assistance

Health and wellbeing options

Zusammenfassung

United States Digital Space LLC in Berlin is seeking a Senior Machine Learning Engineer to advance our recommendation systems. You will productionize models, optimize pipelines, and deploy high-performing ML solutions for real-time and batch inference, collaborating with Applied Scientists, Product and Software Engineers.

The role emphasizes scalable architectures on AWS, Airflow workflows, PySpark data processing, and close alignment with feature stores and Kubernetes.

Qualifikationen

• 5+ years with PySpark, ML Ops, AWS (SageMaker), Airflow, Python and PyTorch.
• Proven productionizing ML models and orchestrating ML workflows.
• Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference.
• Strong collaboration and communication skills.
• Experience with feature stores and real-time feature engineering; Kubernetes is a plus.

Aufgaben

• Build and optimise ML pipelines for training, deployment, and monitoring.
• Productionize ML models by orchestrating workflows with Airflow and AWS deployment.
• Improve data quality and reliability for real-time and batch inference.

Kenntnisse

PySpark

ML Ops

AWS

Airflow

Python

PyTorch

Databricks

Tools

Databricks

Kubernetes

Jobbeschreibung

OrtGermany - BerlinVertragFull timeJob-KategorieSoftware Engineering - Machine Learning

THE ROLE & THE TEAM

We are looking for a Senior Machine Learning Engineer to enhance the company’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.
• Improve data quality and reliability for real-time and batch inference systems.

WE’D LOVE TO MEET YOU IF…

• 5+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python and deep learning frameworks (e.g. PyTorch).
• Proven experience in productionizing ML models and orchestrating ML workflows.
• Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference.
• Strong collaboration and communication skills.
• Experience with feature stores, real-time feature engineering or Kubernetes is a plus.

OUR OFFER

the company 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 the company, 30% off the company Lounge, discounts from external partners
• 2 paid volunteering days a year
• 27 days of vacation a year to start
• 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
• Drive your development through our training platform and biannual peer-to-peer review

INCLUSIVE BY DESIGN

At the company, 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.the company.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy

Our employee resource groups: https://corporate.the company.com/en/our-impact/our-employee-resource-groups

• Opportunity to work from abroad for 30 (working) days per calendar year

ABOUT the company

It’s the perfect time to join the company 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 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 48 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values https //jobs.the company.com/en/our-founding-mindset

Follow us on Instagram instagram.com/insidezalando

Über the company

Es ist die perfekte Zeit, sich the company auf unserer Reise anzuschließen, das führende E-Commerce-Ökosystem für den europäischen Mode- und Lifestyle-Markt aufzubauen. Hilf uns, rund 50 Millionen aktiven Kund*innen in 25 Märkten ein inspirierendes und qualitätsorientiertes Einkaufserlebnis für Mode- und Lifestyle-Produkte zahlreicher Marken aus einer Hand zu bieten. Oder sei Teil unserer the company Logistik-, Software- und Service-Infrastruktur, um Marken und Einzelhändler bei ihren E-Commerce-Transaktionen in ganz Europa zu unterstützen – sowohl auf als auch außerhalb der the company Plattform. Komm zu uns, um mit diesem Ökosystem einen positiven Wandel in der Mode- und Lifestylebranche zu bewirken.