ML Engineer Reinforcement Multi-Armed Bandits – Offer intelligence

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