Senior Machine Learning Engineer - (Logistics, Optimization)

We are looking for a (Senior) Machine Learning Engineer to join the Logistics Optimization team on our journey to always deliver amazing experiences.

The Optimization Tribes purpose is to maximize Delivery Heros logistics performance. We achieve this by owning and continuously improving the sophisticated algorithm that solves the real-time vehicle routing problem assigning orders efficiently every minute. This directly impacts DHs core efficiency and customer satisfaction KPIs influencing decisions for stakeholders from Operations to Product. 

As an ML Engineer your value lies in tackling the problems at scale head-on and building ML products which shape the algorithms logic and decisions to meet our long-term goals of best-in-class efficiency and service making a tangible impact across the Delivery Hero network. Are you ready to take your Machine Learning Engineering skills to the next level and make a tangible impact on millions of users worldwide

In this role you will

• Build the infrastructure that powers critical model inputs fed every minute to the dispatch algorithm which shapes experiences for millions of customers across the globe every single day.

• Design build and maintain a scalable ML infrastructure to manage the entire ML lifecycle at scale.

• Develop Tooling: Build and enhance ML engineering tooling for Model Development Model Workbench Model Training Model monitoring and Model serving.

• Collaborate and Optimize: Work closely with data scientists analysts and data engineers to understand their needs and build solutions that optimize their workflows.

• Leverage Cloud: Utilize modern technologies and public cloud infrastructure to build highly available systems for multiple teams.

• Scale and Perform: Build solutions at scale optimizing for performance and efficiency.

• Address Pain Points: Understand the pain points of application teams and translate them into robust platform features.

• Innovate and Suggest: Proactively suggest how the team can leverage new technologies and architectures to support new use cases.

Qualifications :

• Software Engineering Expertise: At least 4 years of experience in software engineering with hands-on experience with modern programming languages such as Python Java or Golang.

• Technical Evaluation: Experience in tech explorations to evaluate technologies for business problems and proposing solutions based on comprehensive pros and cons analysis.

• Proof of Concept: Prior experience building proof of concepts for solving system design challenges using open-source tools.

• Application Development: Experience building new applications from scratch.

• System Analysis: Experience in deep-diving into existing systems for investigations and improvements.

• ML Engineering Experience: Prior experience in ML engineering or MLOps.

• Communication Skills: Fluency in English. Clarity in communication both written and verbal.

Nice to Have

• Prior knowledge of public cloud platforms (AWS Google Cloud or equivalent).

• Experience with CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).

• Familiarity with the ML engineering ecosystem such as Model serving training and feature engineering pipelines.

• Knowledge of containerization and orchestration tools like Docker Kubernetes and Helm.

• Experience with ML tools like Metaflow MLflow Argo Workflows and Cloud Notebooks.

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday with an extra day on 2nd and 3rd year of service

• We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.

• Get moving and release those wonderful mind-boosting endorphins: Health Checkups Meditation Gym & Bicycle Subsidy

• Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank  Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan

• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Remote Work :

No

Employment Type :

Full-time