Senior Machine Learning Engineer - (Logistics, Optimization) at Delivery Hero | BE, DE | Rezi

Senior Machine Learning Engineer - (Logistics, Optimization) at Delivery Hero

Senior Machine Learning Engineer - (Logistics, Optimization)

Delivery Hero · BE, DE

5 days ago

Senior Machine Learning Engineer - (Logistics, Optimization)

Delivery Hero · BE, DE

6 days ago
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About the Role

We are seeking a Senior Machine Learning Engineer to join the Logistics Optimization team. This role focuses on maximizing Delivery Hero's logistics performance by owning and improving the algorithm that solves the real-time vehicle routing problem. You will build ML models and products to optimize efficiency and service, impacting millions of users worldwide.

Responsibilities

  • Design, build, and maintain scalable ML model services, optimizing for performance and efficiency.
  • Build the infrastructure for critical model inputs fed to the dispatch algorithm.
  • Collaborate with data scientists and engineers to understand product needs and build scalable solutions.
  • Build and enhance ML engineering tooling for Model Development, Monitoring, Serving, and Experimentation.
  • Utilize cloud infrastructure to build highly available systems.
  • Proactively suggest leveraging new technologies and architectures to support new use cases.

Requirements

  • 4+ years of experience in ML engineering or MLOps.
  • Familiarity with ML engineering ecosystem tools for model serving, training, experimentation, and feature engineering.
  • Experience building infrastructure around machine learning pipelines using modern tools.
  • Hands-on experience in modern programming languages such as Python.
  • 3+ years of experience designing and implementing diverse machine learning models (e.g., regression, classification, tree-based ensembles).
  • Strong theoretical foundation in statistics and probability.
  • Experience building new applications from scratch.
  • Experience building quick proof of concepts (PoCs) for solving system design challenges using open-source tools.
  • Experience in tech explorations to evaluate technologies for business problems and proposing solutions.
  • Experience in deep-diving into existing systems for investigations and improvements.
  • Fluency in English with clarity in communication, both written and verbal.

Skills

  • Python
  • Machine Learning
  • MLOps
  • Data Science
  • Statistics
  • Probability
  • Application Development
  • System Design
  • Tech Exploration
  • System Analysis

Location

  • Berlin, Germany

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Senior

Benefits

  • 27 days holiday with an extra day on 2nd and 3rd year of service
  • 1,000 € Educational Budget
  • Language Courses
  • Parental Support
  • Access to Udemy Business platform
  • Health Checkups
  • Meditation & Gym
  • Employee Share Purchase Plan
  • Sabbatical Bank
  • Public Transportation Ticket Discount
  • Life & Accident Insurance
  • Corporate Pension Plan
  • Digital Meal Vouchers
  • Food Vouchers
  • Relocation support for Berlin

About the Company

  • Delivery Hero is the world's pioneering local delivery platform, operating in around 65 countries.
  • Headquartered in Berlin, Germany, it is one of Europe's largest tech platforms and listed on the Frankfurt Stock Exchange.
  • The company's mission is to deliver an amazing experience, fast, easy, and to your door.
  • Delivery Hero is powered by tech and designed by people, fostering a culture of high performance and community.

Equal Opportunity

  • Delivery Hero believes diversity and inclusion are key to creating an exciting product and an amazing customer and employee experience.
  • The company does 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.
  • Applicants are encouraged to request accommodations or specific accessibility support for the interview process.
  • Severely disabled applicants with equal qualifications will be given preferential consideration.
  • Applicants are welcome to share their pronouns.