Machine Learning Engineer - Reinforcement Multi-Armed Bandits (m/f/d) - Remote

Overview

Join our team of data science and machine learning experts to shape the next generation of intelligent pricing strategies. Our mission is to apply cutting-edge techniques—including reinforcement learning, multi-armed bandits, and Bayesian inference—to optimize dynamic pricing decisions. We build scalable models and systems that directly impact millions of customers, enabling more efficient revenue management processes and a superior user experience.

In Short

• Develop and Enhance ML Solutions: Design, implement, and maintain production-grade machine learning systems, with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing.
• Cross-Functional Collaboration: Work closely with teams in data science, engineering, product management, and business operations to bring experimental models into a robust production environment.
• Monitoring and Analysis: Continuously track model performance, visualize key metrics, and conduct deep-dive analyses to understand changes in system behavior and their impact on business outcomes.
• Iterative Improvement: Collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven, ML-powered solutions to address them.
• Knowledge Sharing: Communicate results, methodologies, and technical insights to audiences of varying technical backgrounds, ensuring that both business and technical teams understand the value of your work.

Requirements

• Foundational Experience in ML: Some background in machine learning or data science. Prior exposure to reinforcement learning, multi-armed bandits, Bayesian methods, or dynamic pricing is a plus, but not required.
• Technical Skills: Proficiency in Python and familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch). Experience with cloud platforms (AWS, GCP, or Azure) is beneficial.
• Production Mindset: Comfortable deploying and maintaining ML models in a production environment, ensuring reliability, scalability, and adaptability.
• Growth-Oriented: Passionate about learning new methods and solving real-world problems. Even if you don’t have all the experience listed, we encourage you to apply if you’re excited about bandit algorithms, dynamic pricing, and advanced ML techniques.
• Communication & Teamwork: Fluent in English and enthusiastic about working within a diverse, multinational team.

Benefits

• Generous Time Off: Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year.
• Work-Life Balance & Flexibility: Benefit from a hybrid working model, flexible working hours, and no dress code.
• Great Employee Benefits: Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts.
• Training & Development: Participate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and development.
• Health & Well-being: Private health insurance to support your well-being.
• Additional Perks: Enjoy the Coverflex advantage system to enhance your employee experience.