Staff Machine Learning Engineer
Set technical direction for production AI agents and model training, evaluation, and MLOps while remaining hands-on. Shape the ML roadmap and improve systems that handle sensitive healthcare data.
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You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide? Then join our Data Science team and design and build scalable solutions for classical ML use cases and next-generation LLMOps workloads, directly influencing the experience of millions of customers and advancing SIXTβs AI capabilities. If you are passionate about innovative AI platforms and want to make an impact, apply now and become part of Team Orange in Pullach close to Munich.
YOUR ROLE AT SIXT
YOUR SKILLS MATTER
WHAT WE OFFER
About us:
We are a globally leading mobility service provider with a revenue of β¬4.3 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 360,000 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 100 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!
Set technical direction for production AI agents and model training, evaluation, and MLOps while remaining hands-on. Shape the ML roadmap and improve systems that handle sensitive healthcare data.
Leads technical delivery for machine learning systems, guiding engineering squads while contributing hands-on to architecture, prototypes, and complex engineering work across scalable, production-ready solutions.
Leads the development and deployment of complex machine learning models, manages MLOps pipelines, researches generative AI, and provides technical expertise on challenging AI problems.
Define and build the LLM platform and AI systems powering clinical products, from agentic workflows and retrieval to evaluation and production infrastructure, while setting technical direction and mentoring engineers.
Develop and evaluate machine-learning methods that help autonomous-driving models transfer reliably across vehicle platforms, diagnosing real-world failures and improving production performance.