Prior Labs

Prior Labs

ML Engineer, Forward Deployed

New York · Senior

Sponsorship not specified$24k-$42kDetected 27 days ago
GitAWSGCPAzureCloud PlatformsMachine LearningPyTorchscikit-learnData ScienceNLPLLMsProduct ManagementResearch

About the role

  • 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.

Responsibilities

  • Own Delivery: Carry use cases end-to-end - from first conversation to a reliable, documented production solution you stand behind.
  • Partner Deeply: Work with customer data science and ML teams as a peer, earn their trust, and make them faster with our models.
  • Tailor & Optimize: Customize models for diverse use cases, trading off performance, latency, scale, and cost.
  • Set the Standard: Establish the deployment patterns the team builds on as we scale.
  • 3+ years building and deploying ML systems in production, with a track record of owning hard problems end-to-end.
  • Deep, hands-on ML ability - you build models you understand and can defend, not just call an API. Strong with PyTorch and scikit-learn, with a solid grasp of transformer / foundation-model approaches.
  • Mature customer instinct - you diagnose the real problem, navigate technical and business stakeholders, and drive to outcomes.
  • 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.

Requirements

  • Proven cloud deployment (AWS, GCP, or Azure) into production, kept reliable under real-world conditions.
  • Prior forward-deployed, solutions engineering, or senior technical customer-facing experience.
  • Experience integrating with enterprise data ecosystems and designing APIs and deployment pipelines.

Skills

  • Embed our foundation models into customer platforms, cloud environments, and ML pipelines.

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.
  • 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.
  • A model that tops a benchmark and a model that changes how an organization works are two different things.
  • You'll take our tabular foundation models into our most strategic customers' environments - integrating them into real platforms and pipelines, doing the hands-on data science to prove value, and owning the implementation through to production.
  • This is a senior role: You'll own engagements end-to-end with high autonomy, make hard technical calls under ambiguity, and work shoulder-to-shoulder with customer data science teams as a senior peer.
  • The patterns you uncover in the field won't stay in the field - they flow straight back to our researchers and shape what we build next.
  • You won't just deploy models; you'll help shape how Prior Labs deploys as we scale.
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