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Research, Pre-Training Data

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San Francisco, CA$350k - $475kFull-timePosted 11mo ago

About the role

Role focusing on designing and implementing methods for sourcing, curating, and analyzing pre-training data at scale, blending research with data engineering to support next-generation AI models.

Responsibilities

  • Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data.
  • Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources.
  • Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly.
  • Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use.
  • Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior.
  • Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia.

Qualifications

  • Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
  • Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
  • Clarity in communication, an ability to explain complex technical concepts in writing.

Skills

Required:PythonDeep Learning FrameworksDistributed Training Debugging
Nice to have:Data Curation & AnalysisData Ethics & Licensing

Benefits

  • generous health, dental, and vision benefits
  • unlimited PTO
  • paid parental leave
  • relocation support as needed
Last updated Jul 8, 2026. Interested? Apply on the company site.
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Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.

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