Senior ML Engineer Transport Network and Planning (all genders)

Zalando; Deutschland; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An established industry player is seeking a Senior Machine Learning Engineer to enhance their engineering infrastructure. This role involves developing data ETL pipelines and deep learning models while addressing complex transport network challenges. You will collaborate with a dynamic team to optimize network design and support strategic data-driven initiatives. With a focus on innovation and inclusivity, this position offers a unique opportunity to make a significant impact in a high-paced environment. Join a forward-thinking company that values your contributions and fosters a culture of collaboration and growth.

Leistungen

Employee shares program

Discounts on fashion and beauty products

Two paid volunteering days annually

Hybrid work model

Option to work from abroad

27 days of vacation

Relocation assistance

Family support services

Health and wellbeing options

Mental health support and coaching

Qualifikationen

• Extensive experience in designing and operating data-intensive ML systems.
• Proficient in Python and familiar with the end-to-end ML process.

Aufgaben

• Collaborate to deploy ML models to production and maintain data pipelines.
• Design and build ML models while ensuring system stability and monitoring.

Kenntnisse

Machine Learning

Python

Data Engineering

Cloud Computing

CI/CD

Containerization

Orchestration Tools

Monitoring

Ausbildung

Bachelor's in Computer Science or related field

Master's in Machine Learning or related field

Tools

SageMaker

Databricks

AirFlow

PyTorch

Docker

Kubernetes

PySpark

Pandas

Numpy

Jobbeschreibung

THE ROLE AND THE TEAM

Zalando fulfills more than a hundred million customer orders every year, with increasing volumes. Our transport systems are central to Zalando's platform strategy, ensuring timely, efficient, and accurate delivery of over 185 million orders annually.

Order fulfillment involves complex processes, from selecting warehouse locations to managing hubs, which form the backbone of logistics involving movement and capacity planning. Efficient network routing and capacity utilization (e.g., trucks, linehauls) are crucial for reducing transit times and costs. The middle mile is closely aligned with last mile requirements, making integrated planning essential for transport efficiency.

The last mile is often the most complex and costly segment. Effective planning, including route optimization and delivery slot management, is vital to meet customer expectations for speed and reliability while controlling costs. Since last mile operations influence middle mile scheduling, its strategic importance is amplified.

As a Senior Machine Learning Engineer, you will play a key role in developing our next-generation engineering infrastructure, such as data ETL pipelines and deep learning model pipelines. You will collaborate with data and ML engineers to address complex transport network challenges, optimize network design, and support strategic, data-driven use cases like simulation, dynamic slot and carrier recommendations, and disruption management. This role offers a unique opportunity to advance Zalando's technological capabilities in a high-impact environment.

INCLUSIVE BY DESIGN

At Zalando, we aim to be inclusive by design. We do not discriminate based on gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability. We encourage candidates to omit personal details such as picture, age, or marital status from applications. Our focus is solely on qualifications and merit.

We are committed to providing a positive candidate experience. Please inform us of any accommodations needed during the hiring process.

Learn more about our diversity & inclusion strategy: do.BETTER

Our employee resource groups: here

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)

• Collaborate with software and data engineers to deploy ML models to production
• Design, build, and maintain ML models and data pipelines
• Utilize a cloud-based tech stack including SageMaker, Databricks, and AirFlow
• Follow best practices in software engineering, including code quality and testing in Python
• Ensure system stability, monitoring, and resilience
• Mentor colleagues, foster innovation, and promote an inclusive work environment
• Contribute to Zalando's engineering community and team processes

WE'D LOVE TO MEET YOU IF

• You have extensive experience designing, developing, and operating data-intensive ML systems
• You are familiar with the end-to-end ML process from ideation to production, including concepts like training, inference, backtesting, and monitoring
• You are proficient in Python and tools like PySpark, Pandas, Numpy, and frameworks like PyTorch
• You have experience with CI/CD, containerization, orchestration tools such as AWS (EKS, ECS), Kubernetes, Docker, and data tools like SageMaker, Databricks, and AirFlow
• You are eager to collaborate on testing and deploying new ML approaches
• You are a team player, self-motivated, with a strong sense of ownership and accountability
• You are fluent in English with excellent technical communication skills

OUR OFFER

Zalando offers a range of benefits, including:

• Employee shares program
• Discounts on fashion and beauty products, Zalando Lounge, and external partners
• Two paid volunteering days annually
• Hybrid work model with at least 60% remote work
• Option to work from abroad up to 30 days per year
• Starting with 27 days of vacation
• Relocation assistance (subject to agreement)
• Family support services
• Health and wellbeing options, including Gympass
• Mental health support and coaching

Learn more about Zalando and our values at here.