Senior Machine Learning Engineer (AI Platform) (Noch 3 Tage zum Bewerben!)...

About the opportunity

At N26, we are building the foundational capabilities that empower product teams and data scientists to integrate AI at scale. As part of the Platform Engineering domain, the AI Platform team is responsible for designing, building, and operating the infrastructure and tooling that make AI use cases scalable, reliable, and easy to adopt, across both Machine Learning and Generative AI domains.

We are looking for a

Senior Machine Learning Engineer

with strong software engineering and infrastructure engineering skills, platform thinking, and leadership qualities to join our evolving AI Platform team.

Who we are

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Aufgaben

This role is ideal for someone who thrives on technical ownership, cross-functional impact, and mentorship, and is motivated by building systems that enable others. You will shape platform direction, lead the design of core components, and play a key role in ensuring that our AI Platform evolves to meet growing business and product needs.

• Lead cross-functional collaboration as part of the AI Platform team, working with Software Engineers, SREs, and internal AI customers (e.g. Data Scientists and Backend Engineers)
• Design, build, and operate platform components that enable scalable and reliable workflows for model training, deployment, inference, and monitoring
• Engage with internal customers to understand their workflows and use cases, and deliver self-service platform capabilities that allow Data Scientists and Backend Engineers to build and ship AI features independently
• Lead the technical discovery and architecture of new platform features such as a Feature Platform, model registries, or serving abstractions
• Own and evolve engineering best practices across software development, DevOps for ML, and production ML operations
• Take ownership of the reliability, scalability, and developer experience of the platform, identifying opportunities for continuous improvement
• Provide technical leadership in shaping platform direction and championing platform thinking across AI initiatives in the company
• Mentor engineers within the team, contribute to a healthy engineering culture, and support hiring efforts as we continue to grow

Profil

What you need to be successful :

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Wir bieten

Equal Opportunities :

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination.