Senior Applied Scientist, AI Data Platform (CoreAI)

Job Description

Join Microsoft’s CoreAI team to build the AI Data Platform, the foundation for secure, scalable, reusable datasets that power model development.

Requirements

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• 2+ years of experience applying machine learning or data science in practical settings
• Programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
• Experience with data analysis, dataset design, or evaluation methodologies
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Responsibilities

• Advancing machine learning and data science to improve data quality, automate dataset generation, and design intelligent agent-driven services that manage the end-to-end data lifecycle
• Developing ML-based pipelines for data generation, validation, augmentation, and discovery
• Designing and training intelligent agents to automate key parts of the dataset lifecycle
• Building evaluation methods to measure dataset quality, coverage, and usefulness for large-scale model training
• Leveraging AI/ML techniques to improve data discovery, curation, and governance
• Collaborating with engineers to integrate scientific methods and models into scalable pipelines and platform services
• Partnering with AI product and research teams to align datasets with model training needs and identify new opportunities
• Contributing thought leadership by publishing or sharing insights internally and externally to shape Microsoft’s data-centric AI practices

Benefits

• 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.