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Research Engineer, Foundation Model

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Prior Labs

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Location:
Germany; United States , Berlin

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Prior Labs is building foundation models that understand tabular data, the backbone of science and business. You'll be among the engineers developing an entirely new class of AI models. Our Research Engineers are core members of the science team, contributing to architectural design while ensuring our models scale to the next order of magnitude. As an early team member, you'll have significant technical ownership and the opportunity to grow into a leadership position as we scale.

Job Responsibility:

  • Build and improve training pipelines for large-scale tabular foundation models
  • Design modular architectures that support rapid experimentation
  • Optimize training and inference performance
  • Improve experiment tracking and evaluation systems
  • Build efficient data processing pipelines for tabular data
  • Maintain clean, documented codebases that the team can build upon
  • Design scalable serving architecture for our models
  • Implement deployment pipelines

Requirements:

  • Strong engineering fundamentals with excellent Python expertise
  • Deep experience with ML frameworks, especially PyTorch, Scikit-Learn
  • Proven track record of implementing and deploying ML systems
  • Passion for writing clean, maintainable, and well-documented code
  • Demonstrated interest in foundation models and their real-world applications

Nice to have:

  • Master's degree or PhD in Computer Science or related technical field
  • Contributions to open-source projects in related fields
  • Experience implementing large language models or foundation models
  • Track record of implementing papers
  • Background in ML infrastructure and tooling
  • Experience with distributed training systems
What we offer:
  • Competitive compensation package in line with industry experience plus 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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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