ML Engineer Reinforcement Multi-Armed Bandits| Offer intelligence (m/f/d)

Company Description

Job Description

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.

YOUR ROLE AT SIXT

• You will 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.
• You will have 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.
• You will be on 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.
• You will be on Iterative Improvement: Collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven, ML-powered solutions to address them.
• You will have 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.

YOUR SKILLS MATTER

• You have 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.
• Your 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.
• You have Production Mindset: Comfortable deploying and maintaining ML models in a production environment, ensuring reliability, scalability, and adaptability.
• You are 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.
• Your Communication & Teamwork: Fluent in English and enthusiastic about working within a diverse, multinational team.

WHAT WE OFFER

• 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

Additional Information

About us:

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!