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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Senior Machine Learning Engineer - (Logistics, Optimization)

AI Summary ✨

Requirements

  • 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.

What you'll be doing

  • 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.

Perks and Benefits

  • 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.

Apply here
Delivery Hero logo

Delivery Hero

Berlin, Germany

Experience: Senior
Posted: July 2, 2025
Aws
Docker
Gcp
Golang
Java
Kubernetes
Python
Terraform
machinelearning

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