Prior Labs

Prior Labs

Applied Scientist, Data Science

New York

Sponsorship not specified$24k-$42kDetected 28 days ago
PythonGitMachine LearningDeep LearningPyTorchData ScienceNLPLLMsMLOpsA/B TestingProduct ManagementCustomer SuccessResearchCommunication

About the role

  • You'll join our data science team working with an entirely new class of AI models.
  • Customer Success: Work directly with users to understand their challenges and demonstrate TFM value through technical demos tied to real business objectives.
  • Engage the data science community through Kaggle, GitHub, and public-facing work.

Responsibilities

  • We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth.
  • If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you.
  • We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters.
  • This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together.

Requirements

  • Ability to translate complex technical concepts into tangible value for both technical and non-technical audiences

Nice to have

  • Kaggle Grandmaster, Master, or Expert status
  • Experience in technical consulting, solutions engineering, MLOps, or developer advocacy
  • Contributions to open-source libraries or data science tooling
  • A portfolio of blog posts, talks, or projects that demonstrate strong technical communication
  • Life at Prior Labs
  • We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started.
  • You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with.
  • We move fast, we think rigorously, and we take the time to do things right.

Compensation

  • $24k-$42k

Benefits

  • We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.
  • Our TabPFN v2 model was published as a Nature https://www.nature.com/articles/s41586-024-08328-6 cover story and set a new state of the art for tabular machine learning.

Company info

  • Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them.
  • Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it.
  • Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature https://www.nature.com/articles/s41586-024-08328-6 cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease to preventing train failures with Hitachi https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/ to improving clinical-trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene.
  • The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level.
  • Foundation models transformed text and images.
  • Structured data - the largest and most consequential data format in the world - stayed untouched.
  • Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them.
  • What LLMs did for language, we're doing for tables.
  • The next modality shift in AI is happening, and we're hiring the team that makes it.
  • We pioneered tabular foundation models and are now the world-leading organization in structured-data ML.
  • Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease to preventing train failures with Hitachi https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/ to improving clinical-trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene.
  • The hardest work is ahead.
  • These are open problems no one else is working on at this level.
  • We're a small, highly selective team https://priorlabs.ai/about of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN.
  • We're led by Frank Hutter https://www.linkedin.com/in/frank-hutter-9190b24b/, Noah Hollmann https://www.linkedin.com/in/noah-hollmann-668b9010b/, and Sauraj Gambhir https://www.linkedin.com/in/sauraj-g/, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun.
  • We ship fast, do top-tier research, and hold each other to an extremely high bar.
  • What's next.
  • In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs.
  • The next phase of growth is here, which makes this an ideal time to join.
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