Senior Machine Learning Engineer (AI Platform) @ N26
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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.
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.
Responsibilities
- Lead cross-functional collaboration with Software Engineers, SREs, and internal AI customers.
- Design, build, and operate platform components for scalable ML workflows.
- Engage with internal customers to deliver self-service AI platform capabilities.
- Lead technical discovery and architecture of new platform features.
- Own best practices across software development, DevOps for ML, and production ML operations.
- Provide technical leadership and mentor engineers.
Requirements
- Degree in Computer Science, Data Science, Engineering, or related field.
- 5+ years of experience delivering production-grade ML systems.
- Strong development skills in Python and experience with cloud-native ML infrastructure (e.g. AWS SageMaker, Bedrock, Lambda, ECS).
- Deep understanding of the ML lifecycle and experience with reusable capabilities such as model registries, feature stores, and training pipelines.
- Experience with Terraform, Kubernetes, Kafka, and similar distributed systems.
- Proven leadership in mentoring and guiding engineering teams.
Nice to Haves
- Experience with GenAI platforms, RAG pipelines, LLM APIs, and prompt orchestration.
- Familiarity with multi-tenant platform design and TypeScript.
- Involvement in hiring or team-building activities.
Benefits
- Career growth with one of Europe's most talked about disruptors.
- Competitive personal development and remote work budgets.
- Team office days and flexibility with remote work arrangements.
- Premium bank account subscription and extra leave based on service years.
- Relocation package with visa support if needed.
About N26
N26 has reimagined banking for a digital world, eliminating physical branches and paperwork for an elegant digital experience. The company is headquartered in Berlin and has offices in multiple European cities with a diverse team from over 80 nationalities.
Equal Opportunities
N26 is committed to building diverse teams and fostering an inclusive workspace. Applications from candidates of all backgrounds are encouraged. For any application accommodations, please contact candidate.exp@n26.com.
Key skills/competency
- Machine Learning
- AI Platform
- Python
- Cloud Infrastructure
- DevOps
- Terraform
- Kubernetes
- Distributed Systems
- Mentorship
- Platform Engineering
How to Get Hired at N26
🎯 Tips for Getting Hired
- Research N26's culture: Understand the digital banking and tech innovation core.
- Customize your resume: Highlight ML and platform engineering skills.
- Prepare technical examples: Showcase Python and cloud projects.
- Practice clear communication: Demonstrate leadership and cross-team collaboration.