What you bringleadership
full lifecycle
systems design
backend engineering
gcp
ml-native
This role is ideal for someone who lives at the intersection of machine learning and strong software engineering, and wants to build real-world systems that make a difference.
- Experience leading complex technical projects or products, either in a company, startup, or open-source community
- Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code
- A builder’s mindset: you thrive on solving problems end-to-end, not just prototyping
- Strong systems design, architecture, and a clear, pragmatic communication style
- Deep backend/software engineering experience (we use modern cloud platforms, containers, APIs, etc.)
- Working with cloud infrastructure (GCP preferred), security-first architecture, and modern dev practices
- ML-native thinking: you're excited by ML, know when (and when not) to apply it, and can scale it pragmatically
BenefitsBonus points if you’ve worked on privacy tech, GraphQL, OAuth, embedded systems, or large-scale data pipelines.
✅ Competitive salary, benefits, and strong support for professional growth
Feel free to apply here or drop me a message directly.
✅ The chance to “re-found” a company at a pivotal moment in its evolution
✅ Remote-first setup (EST to CET) + offices in Berlin & multiple other locations
Training + DevelopmentInformation not given or found