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Senior Research Engineer (Code World Models)

CompraTica Empleos

EMP:Technology
Berlin; Munich
Tiempo Completo
Remoto
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Descripción

<div> <div class="description__e030 renderedMarkdown__c113 prosemirror__b91a markdown__e688 font__eef6"> <p>JetBrains is a global software company that creates intelligent tools for software developers and teams.

Since 2000, we have built products that help developers work more productively, write higher-quality code, and stay focused on solving real problems.

</p> <p>The JetBrains Research team is looking for a Senior Research Engineer to work on Code World Models: models that learn how software systems behave, change, execute, and interact with developer tools.

</p> <p>This role is focused on model pre-training and mid-training for code-centric foundation models.

You will work on data, training pipelines, evaluation, and experiments that improve how models understand programs, repositories, execution, tests, and software engineering workflows.

</p> <h2>In this role, you will:</h2> <ul> <li>Design and run pre-training, continued pre-training, and mid-training experiments for code models.

</li> <li>Build and improve data pipelines for large-scale model training, including filtering, deduplication, mixture design, and dataset quality checks.

</li> <li>Work with code corpora, repositories, tests, execution traces, and synthetic data.

</li> <li>Develop evaluations for complex repository-level code reasoning tasks.

</li> <li>Collaborate with researchers and engineers working on ML for code and AI developer tools.

</li> </ul> <h2>We’ll be happy to have you on our team if you:</h2> <ul> <li>Have hands-on experience with model pre-training, continued training, or mid-training.

</li> <li>Have strong engineering.

Habilidades

in Python and experience with modern ML frameworks.
  • Understand large-scale ML training workflows, including data processing, distributed training, checkpointing, evaluation, experiment tracking, and debugging.
  • Have experience working with large datasets and care

    Acerca de

    data quality, contamination, sampling, and reproducibility.
  • Have a backg...
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