Prior Labs GmbHJack scans 15 million jobs daily and introduces you directly to hiring managers.
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Prior Labs is tackling one of AI's hardest problems: making sense of the messy, structured data that powers most businesses. While transformers conquered text and images, tabular data — think sales records, inventory logs, customer databases — has remained stubbornly difficult to model at scale. Prior Labs has built pre-trained foundation models specifically for this challenge, enabling companies to generate predictions on structured data without needing massive in-house ML teams or custom pipelines for every use case. It's a bet that tabular AI can follow the same arc as LLMs: pre-train once, fine-tune everywhere. For engineers and data scientists who want to work on genuinely novel ML infrastructure with immediate real-world impact, this is a rare chance to shape how enterprises unlock value from their structured data.
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Senior ML Infrastructure Engineer in Berlin at Prior Labs GmbH will lead the compute strategy for the company’s tabular foundation models. The role involves high-stakes architectural decisions on cluster scheduling, hardware selection, and provider strategy with tens of millions in annual GPU spend. It covers owning the full stack from Slurm and GCP today to multi-provider orchestration.
The Cloud Engineer role at Prior Labs GmbH involves building and scaling production-grade infrastructure for foundation models. You will work closely with AI researchers to translate cutting-edge research into reliable systems. Candidates should have 3+ years of experience with Kubernetes, Terraform, and Python, and will help shape the architecture of a growing AI company in Germany or NYC.
Account Executive at Prior Labs GmbH in New York, responsible for commercializing foundation models for structured data with 3M+ downloads. The founding role is backed by SAP’s €1B+ commitment and offers the opportunity to build a global sales engine with a world-class team from DeepMind and Palantir. You will own the full sales cycle from technical discovery to closing enterprise deals and.
