Senior Machine Learning Engineer

1 Day ago • 4 Years + • Research Development

Job Summary

Job Description

Delivery Hero, a leading local delivery platform operating in over 70 countries, is seeking a Senior Machine Learning Engineer for its Logistics Optimization team. The role involves maximizing logistics performance by improving the real-time vehicle routing algorithm that assigns orders efficiently, impacting core efficiency and customer satisfaction KPIs. The engineer will build infrastructure for critical model inputs, design and maintain a scalable ML lifecycle infrastructure, develop ML engineering tooling for model development and deployment, and collaborate with data scientists and engineers to optimize workflows. Responsibilities include leveraging cloud technologies, building highly available systems, scaling solutions for performance and efficiency, addressing application team pain points with robust platform features, and proactively suggesting new technologies and architectures. The goal is to shape algorithm logic and decisions to achieve best-in-class efficiency and service, impacting millions of users globally.
Must have:
  • 4+ years of software engineering experience
  • Experience with Python, Java, or Golang
  • Experience in tech explorations for business problems
  • Prior experience building proof of concepts
  • Experience building new applications from scratch
  • Experience in system analysis for improvements
  • Prior experience in ML engineering or MLOps
  • Fluency in English (written and verbal)
Good to have:
  • Prior knowledge of public cloud platforms (AWS, Google Cloud)
  • Experience with CI/CD and Infrastructure as Code (Terraform)
  • Familiarity with ML engineering ecosystem (model serving, training, feature engineering)
  • Knowledge of Docker, Kubernetes, and Helm
  • Experience with ML tools like Metaflow, MLflow, Argo Workflows
Perks:
  • Hybrid working model with 2 days in the Berlin campus
  • 27 days holiday (with extra day on 2nd and 3rd year)
  • 1,000 Euro Educational Budget
  • Language Courses
  • Parental Support
  • Access to Udemy Business platform
  • Health Checkups
  • Meditation
  • Gym & Bicycle Subsidy
  • Employee Share Purchase Plan
  • Sabbatical Bank
  • Public Transportation Ticket Discount
  • Life & Accident Insurance
  • Corporate Pension Plan
  • Digital Meal Vouchers
  • Food Vouchers
  • Corporate Discounts

Job Details

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

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 Tribe's purpose is to maximize Delivery Hero's 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 DH's 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 algorithm's 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 you’re in good shape, then we’re 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, we’ll 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 you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d 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 experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Similar Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Similar Skill Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Jobs in Berlin, Berlin, Germany

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Research Development Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

About The Company

Founded in 1926 by Marcel Bleustein-Blanchet, today Publicis Groupe is the second largest communications group in the world and a leader in marketing, communication, and digital business transformation, led by Arthur Sadoun, the third CEO in its history.


Publicis Groupe is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Publicis Groupe is a privileged partner in its clients’ transformation to enhance personalisation at scale. The Groupe relies on ten expertise concentrated within four main activities: Communication, Media, Data and Technology. Through a unified and fluid organisation, its clients have a facilitated access to all its expertise in every market. Present in over 100 countries, Publicis Groupe employs around 98,000 professionals.


Facebook: http://www.facebook.com/publicisgroupe

Twitter: @PublicisGroupe

Youtube: http://www.youtube.com/publicisgroupe

Website: www.publicisgroupe.com

Odessa, Texas, United States (On-Site)

Istanbul, İstanbul, Türkiye (On-Site)

Le Chenit, Vaud, Switzerland (On-Site)

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia (On-Site)

Bordeaux, Nouvelle-Aquitaine, France (On-Site)

Berlin, Berlin, Germany (Hybrid)

Purwokerto, Central Java, Indonesia (On-Site)

Cherbourg-en-Cotentin, Normandy, France (On-Site)

Central Sulawesi, Indonesia (On-Site)

Regensburg, Bavaria, Germany (On-Site)

View All Jobs

Get notified when new jobs are added by Publicis Groupe

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug