ML Engineer - Reinforcement Learning and Dynamic Pricing - 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.

In Short

• Develop and enhance ML solutions focusing on bandit algorithms and reinforcement learning for dynamic pricing.
• Collaborate cross-functionally with data science, engineering, product management, and business operations.
• Monitor model performance and conduct analyses to understand system behavior changes.
• Identify inefficiencies in current processes and propose ML-powered solutions.
• Communicate results and methodologies to diverse audiences.

Requirements

• Foundational experience in machine learning or data science.
• Proficiency in Python and familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch).
• Comfortable deploying and maintaining ML models in production.
• Passionate about learning new methods and solving real-world problems.
• Fluent in English and enthusiastic about teamwork.

Benefits

• 28 days of vacation and additional time off for your birthday.
• Hybrid working model and flexible hours.
• Access to employee discounts on SIXT services.
• Training programs and opportunities for personal growth.
• Private health insurance for well-being support.