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

Machine Learning Engineer - Reinforcement Multi-Armed Bandits (m/f/d)
Lisboa
Lisboa, Lisboa, Portugal

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

• Full-time
• Legal Entity: Sixt Research Development Services, Lda.

Join our team of data science and machine learning experts to shape the next generation of intelligent pricing strategies. Our mission is to apply
- edge techniques—including reinforcement learning,
- 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:

1. Develop and Enhance ML Solutions: Design, implement, and maintain
   - grade machine learning systems, with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing.
2. 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.
3. Monitoring and Analysis: Continuously track model performance, visualize key metrics, and conduct
   - dive analyses to understand changes in system behavior and their impact on business outcomes.
4. Iterative Improvement: Collaborate with business stakeholders to identify inefficiencies in current processes and propose
   - driven, ML-powered solutions to address them.
5. 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:

1. Foundational Experience in ML: Some background in machine learning or data science. Prior exposure to reinforcement learning,
   - armed bandits, Bayesian methods, or dynamic pricing is a plus, but not required.
2. Technical Skills: Proficiency in Python and familiarity with modern ML frameworks (e. g. , Tensor
   Flow, Py
   Torch). Experience with cloud platforms (AWS, GCP, or Azure) is beneficial.
3. Production Mindset: Comfortable deploying and maintaining ML models in a production environment, ensuring reliability, scalability, and adaptability.
4. Growth-Oriented: Passionate about learning new methods and solving
   - 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.
5. 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
  - being.
• Additional Perks: Enjoy the Coverflex advantage system to enhance your employee experience.

About us:

We are a leading global mobility service provider with sales of €3. 07 billion and around 9, 000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 222, 000 vehicles, the services of 1, 500 cooperation partners and around 1. 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2, 098 rental stations. At SIXT, a
- class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and
- term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now!