Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Pretraining Data role.
Rezi rewrites your resume against Microsoft AI's job description. Free.
Tailor your resume to this Pretraining Data role.
Rezi rewrites your resume against Microsoft AI's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Pretraining Data posting at Microsoft AI — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Pretraining Data posting at Microsoft AI — free, in seconds.
About the Role
Microsoft AI is seeking Researchers and Research Engineers to join the Pre-training Data team. This role focuses on training world-class AI frontier models by pushing the boundaries of scale, performance, and product deployment. You will work at the intersection of data and innovation, collaborating to curate, analyze, and evaluate large-scale data sources critical for model development. The role emphasizes research and engineering to improve models and products, with academic publishing not being a priority.
Responsibilities
- Design and curate high-quality datasets to power frontier AI models.
- Develop novel data collection strategies.
- Improve dataset quality and integrity.
- Understand data-driven model behaviors.
- Align datasets with ethical and societal values.
- 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.
Requirements
- 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.
- 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
- Python
- Pandas
- NumPy
- Data analysis
- Data engineering
- Statistics
- Exploratory data analysis
- Spark
- Ray
- Apache Beam
Location
- United Kingdom
Work Type
- Full-time
Experience Level
- 4+ years
- 10+ years
- 8+ years
- 2+ years
Education Level
- Bachelor's Degree
- Master's Degree
Salary/Compensations
- £ 74,700.00 - £ 122,600.00 per year
- £ 93,500.00 - £ 161,800.00 per year
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- Microsoft AI is looking for Researchers and Research Engineers to join our Pre-training Data team and help train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment.
- The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale.
- As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
Equal Opportunity
- Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.