Machine Learning Engineer | Marketing (m/f/d)

Job Description

Join our team of machine learning experts to bring cutting-edge causal inference models and algorithms into production at scale. Collaborate closely with data scientists to deploy, optimize, and maintain models that drive performance marketing, portfolio optimization, and large-scale ad automation. You will build robust and scalable pipelines, ensuring these advanced solutions deliver actionable insights and measurable impact in real-world applications.

YOUR ROLE AT SIXT

• You work with data scientists to deploy causal inference models for online marketing, including A/B testing, difference-in-differences, propensity score matching, and double machine learning, in real-world systems.
• You design and maintain machine learning pipelines that support model deployment, making sure they are reliable, scalable, and work well with existing tools and platforms.
• You collaborate with product managers, engineers, and data scientists to turn experimental models into working systems that support business goals.
• You monitor model performance, accuracy, and speed, and make regular updates to keep models effective as business needs change.
• You automate routine tasks and build systems that can handle large amounts of data and support fast model responses.
• You document your work and share technical details and results with both technical and non-technical team members to support collaboration and understanding.

Qualifications

YOUR SKILLS MATTER

• You engineer and maintain production-grade machine learning systems, ensuring robustness, scalability, and high availability in real-world environments.
• You leverage Python and industry-standard ML frameworks like TensorFlow, PyTorch, and Scikit-learn to build and operationalize intelligent models.
• You design and orchestrate end-to-end ML workflows using tools such as MLflow and Apache Airflow, enabling reproducibility, automation, and model governance at scale.
• You develop and deploy containerized microservices using Docker and Kubernetes, and integrate with RESTful APIs to support modular, cloud-native architectures.
• You apply causal inference techniques—including A/B testing, difference-in-differences, and propensity score matching—to support data-driven pricing and experimentation strategies.
• You work hands-on with cloud platforms like AWS and big data technologies such as Apache Spark, Dask, or Polars, enabling distributed processing and efficient offline learning pipelines.

Additional Information

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

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!