The Data Research Engineer role is part of the Microsoft Superintelligence team, focusing on building next-generation foundation models across various modalities such as vision, language, and audio. This position is ideal for engineers passionate about curating high-quality datasets to enhance AI models. The role emphasizes collaboration with scientists, engineers, and annotators to ensure data quality and ethical alignment. Candidates will engage in innovative data strategies and contribute to impactful AI advancements.

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical discipline and 4+ years of technical engineering experience with coding in languages including Python and common data libraries.
• Master's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical discipline and 8+ years of technical engineering experience with coding in languages including Python and common data libraries.
• 2+ years of experience in data analysis or data engineering, including work with large-scale unstructured or semi-structured datasets.
• 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.

• Create high-quality datasets for training and evaluation and run experiments on new datasets to assess their impact.
• Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
• Analyze real-world multimodal 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.