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Researcher - Pretraining Data Team

Microsoft· Software Engineering
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London£74.7k - £122.6kFull-timePosted 4d ago

About the role

Microsoft AI is hiring Researchers and Research Engineers to join the Pre-training Data team to curate, analyze, and evaluate large-scale data sources for frontier AI models. Focus on designing high-quality datasets, data collection strategies, data quality, and ethical alignment without prioritizing academic publishing.

Responsibilities

  • Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
  • Develop and maintain scalable data pipelines for ingestion, processing, filtering, and annotation.
  • Analyze real-world datasets to assess quality, diversity, relevance, and identify areas for improvement.
  • Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
  • Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Qualifications

  • Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
  • Preferred: Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 10+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
  • 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
  • Proficiency in statistics and exploratory data analysis methods.
  • Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
  • Ability to communicate technical findings clearly to research and product teams.

Skills

Required:Dataset curation and dataset quality assessmentData pipeline developmentData analysis and statistics

Benefits

  • Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
Last updated Oct 23, 2026. Interested? Apply on the company site.

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