Machine Learning Engineer - Reinforcement Multi-Armed Bandits (M/F/D)
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:
- 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. - 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
- 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
- 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.
YOUR SKILLS MATTER:
- 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. - 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. - 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
- 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.
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!
- Informações detalhadas sobre a oferta de emprego
Empresa: SIXT Portugal Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 18. 5. 2025
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