Microsoft AI is seeking Data Research Engineers to join their Multimodal team to build the next generation of foundation models across vision, language, audio, and beyond by exploring, designing, and building high-quality datasets to drive frontier AI models
Requirements
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- Proficiency in statistics and exploratory data analysis methods
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- Ability to communicate technical findings effectively to research and product teams
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- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
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- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
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- Coding experience in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
Responsibilities
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- 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
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- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
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- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
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- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
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- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Other
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- Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4 years technical engineering experience
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- 2 years of experience in data analysis or data engineering
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- Ability to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
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- Travel requirements not specified, but may be required
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- Must be able to communicate effectively to research and product teams
