ML Engineer, Cloud Platform

Join Prior Labs!

Who We Are: Prior Labs is building tabular 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 $600B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Our Momentum: We’re the world-leading organization working on structured data, and we’re accelerating fast. Our TabPFN v2 model was published in Nature and set the new state-of-the-art for structured data ML. Since it’s release, we’ve scaled up 20x in model capabilities, hit 2.5M+ downloads, 5,500+ GitHub stars, and growth is accelerating. We’re now building the next generation of models that combine AI advancements with specialized architectures for tabular data and actively commercializing them with global enterprises across Europe & the US.

The Team: We’re a small team of 20+ permanent hires selected from 5,000+ applicants - building the next generation of foundation models for structured data. Led by the founders behind the TabPFN lineage, we bring together talent from Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs and CERN, among others. We’re backed by heavyweight advisors including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet the team here.

What’s Next: Backed by top-tier investors and leaders from Hugging Face, DeepMind, Black Forest Labs and Silo AI, we’re scaling fast. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.

About the role

You will have ownership over designing, building, and scaling the core infrastructure that brings Prior Labs' foundation models to the world. This is a unique opportunity to make fundamental architectural decisions, establish engineering best practices from the ground up, and profoundly shape the technical direction for serving state-of-the-art AI.

You'll work directly with world-class AI researchers, translating cutting-edge models into reliable, scalable production systems. This role offers significant autonomy and impact, with clear paths to specialize in areas you're passionate about (like ML infrastructure or core backend systems) or grow into a technical leadership position as our team expands. You won't just be implementing features; you'll be building the backbone of our company.

What You'll Do

• Architect & Design: Design robust, scalable, and secure backend systems and production-grade APIs for serving and finetuning our foundation models.

• Build & Implement: Develop high-quality, maintainable code (Python/FastAPI experience highly valued) for core backend services.

• Own Infrastructure: Design, deploy, and manage core infrastructure on cloud platforms, focusing on reliability, monitoring, observability, and cost-efficiency.

• Core MLOps Concepts: Understanding of the entire machine learning lifecycle (MLLC) from data ingestion and preparation to model deployment, monitoring, and retraining.

• Ensure Compliance & Security: Implement secure, GDPR-compliant systems, including data storage, access control, usage tracking, and quota management.

• Champion Best Practices: Drive high standards for testing, CI/CD, documentation, and security within the engineering team.

Qualifications

• 3+ years of professional experience in a cloud engineering, data platform, or SRE role, with a proven track record of managing production infrastructure.

• Proven experience building and maintaining data-intensive systems, with a strong understanding of data modeling, storage, and processing technologies.

• Strong, hands-on experience with Infrastructure as Code (IaC) using tools like Terraform.

• Significant experience with containerization and orchestration technologies (Docker, Kubernetes).

• Proficiency in Python.

What Sets You Apart

• Experience building or managing infrastructure specifically for machine learning (MLOps, model serving frameworks, feature stores, data pipelines).

• Hands-on experience with modern data warehousing and processing platforms like Databricks, Snowflake, or BigQuery.

• Experience in a technical leadership or mentorship role.

• Contributions to relevant open-source projects.

Location

• Offices in San Francisco, NYC, Berlin, and Freiburg, with flexibility to work across our locations

Benefits

• Competitive compensation package with meaningful equity

• 30 days of paid vacation + public holidays

• Comprehensive benefits including healthcare, transportation, and fitness

• Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team

Our Commitments

• We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That’s why we welcome applications from people of all identities and walks of life, especially anyone who’s ever felt discouraged by "not checking every box."

• We’re committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.