Join Prior Labs Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We're tackling this $100B opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence. We aim to be the world leading organization working on structured data. Our TabPFN v2 model, was just published in the Nature Journal and is the new state-of-the-art for small structured data. Our models have significant traction (900K downloads, 2,000 GitHub stars) and we are now building the next generation of models that combine AI advances with specialized architectures for structured data. With backing from top-tier investors and some of the top AI leaders, we're rapidly moving toward commercialization. Want to help organizations worldwide unlock the true value of their most critical data assets? Join us in making it happen. Key Responsibilities You'll own and develop the core infrastructure that makes our foundation models accessible and scalable. As one of our earliest engineering hires, you'll have the opportunity to shape our technical infrastructure but also your own role as the team grows - whether that means specializing in areas you're most passionate about or growing into a technical leadership position. Initial Scope Design and implement production-grade model serving APIs (currently https://github.com/automl/tabpfn-client ) Build comprehensive monitoring, analytics, and observability systems Develop secure, GDPR-compliant infrastructure Create robust deployment and load balancing systems Implement usage tracking and quota management Design scalable data storage solutions Growth Opportunities As our team expands, you'll have the flexibility to: Specialize in areas that match your interests and strengths (e.g., ML infrastructure, Backend Development) Build and lead a team of engineers Define technical strategy and architecture for new product initiatives Technical Requirements 3 years of experience with backend software development in one or more programming languages, and with data structures/algorithms 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture Experience building production-grade APIs with FastAPI What Sets You Apart Master's degree or PhD in Computer Science or related technical field Experience in a technical leadership role Contributions to open-source projects in related fields Experience building ML infrastructure or collaborating with ML research teams Knowledge of cloud platforms (AWS/GCP) Experience with data privacy and security best practices Interest in foundation models and their applications Location & Work Style Headquartered in Freiburg, Germany - a university city at the edge of the Black Forest, Switzerland and France, and office in Berlin Opening London in 2025 We're building a team that combines technical excellence with our core principles: High-performing empathy - We deliver exceptional results while supporting and respecting each other Undogmatic problem-solving - We value practical solutions over rigid principles Positive impact - We integrate ethical considerations into everything we build Product driven - We're driven to create breakthrough tools that transform how people work with data Benefits Competitive compensation package with meaningful equity (€ 70K - 110K) Opportunity to become a future leader in one of the top European AI companies Work with state-of-the-art ML architecture and substantial compute resources Shape the future of data science and AI Regular team events and professional development opportunities Comprehensive benefits including healthcare, transportation, and fitness We're at the forefront of bringing foundation model breakthroughs to tabular data, with the potential to transform how organizations worldwide make decisions. If you're excited about creating robust, scalable systems that will power the next generation of AI applications, we'd love to hear from you.