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ML Engineer Reinforcement Multi-Armed Bandits – Offer intelligence

Workster JobsMunich🇩🇪GermanyPosted 29 Jul 2025

Why This Role Stands Out

This role offers an incredible opportunity to build impactful ML solutions for dynamic pricing, directly influencing millions of users and driving significant business growth. You'll thrive here if you're a skilled ML Engineer passionate about reinforcement learning and eager to collaborate with a talented team in a leading mobility-tech company. Apply now to shape the future of intelligent pricing!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Munich, Germany
Posted
1 year ago
GCPAWSMachine LearningAzurePyTorchPythonTensorFlow

Job Description

Workster is partnering with a leading mobility-tech company on a mission to revolutionize dynamic pricing strategies through advanced machine learning and reinforcement learning techniques. We are currently seeking an experienced ML Engineer to join their growing team in Munich.

As part of a forward-thinking environment, you’ll work alongside top-tier data scientists, software engineers, and product experts to bring intelligent pricing systems to life. If you’re excited about building ML solutions with real-world business impact at scale, this is your opportunity to make a difference.

Your Role

  • Design, implement, and maintain robust ML systems using reinforcement learning and multi-armed bandit algorithms
  • Contribute to scalable solutions for dynamic pricing strategies that directly affect millions of customers
  • Collaborate with cross-functional teams including Data Science, Engineering, Product, and Operations to bring experimental models into production
  • Monitor model performance and business impact, conducting in-depth analyses when needed
  • Identify and solve business inefficiencies through ML-driven approaches
  • Clearly communicate methodologies and insights to both technical and non-technical stakeholders

Your Qualifications

  • Experience with machine learning or data science, ideally including reinforcement learning, bandit algorithms, or Bayesian methods
  • Strong Python proficiency and familiarity with modern ML frameworks such as TensorFlow or PyTorch
  • Comfortable with deploying and maintaining ML systems in a production setting
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus
  • Passionate about learning and solving complex real-world challenges
  • Strong communication skills and fluency in English
  • Team-oriented and excited to work in a multicultural, collaborative environment

The Offer

  • Work in a dynamic, innovation-driven tech environment with a clear business impact
  • Join a collaborative international team in the heart of Munich
  • Enjoy 30 days of vacation and flexible hybrid work options
  • Take advantage of mobility support, fitness facilities, and wellness benefits
  • Volunteer opportunities, high-quality office meals, and engaging team activities included

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