Description
Summary
Microsoft AI are looking for a talented Member of Technical Staff, Data Research Engineer to join their MAI Superintelligence Team in London. 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
As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets to assess their impact, and developing and maintaining scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation. You will also analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement. Additionally, you will build lightweight tools and workflows for dataset auditing, visualization, and versioning, and collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
Accountabilities
- Create high-quality datasets for training and evaluation
- Run experiments on new datasets to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
The Candidate we're looking for
Experience:
- Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field
- Technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
Technical skills:
- Proficiency in statistics and exploratory data analysis methods
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
Personal attributes:
- Ability to communicate technical findings effectively to research and product teams
Benefits
- Competitive salary
- Comprehensive benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment