Summary
Microsoft AI are looking for a talented Member of Technical Staff – Pretraining Text Data at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.
About the Role
We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you. In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:
- Develop novel data collection strategies
- Improve dataset quality and integrity
- Understand data-driven model behaviors
- Train models to understand the impact of data and data mixes
- Align datasets with ethical and societal values
Accountabilities
- 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 text data ingestion, preprocessing, filtering, and annotation.
- Analyze real-world text 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.
The Candidate we're looking for
Experience:
- 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.
Technical skills:
- Proficiency in statistics and exploratory data analysis methods.
- Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
Personal attributes:
- Ability to communicate technical findings clearly to research and product teams.
Benefits
- Competitive salary
- Comprehensive benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technology and resources
