Principal 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Experience applying ML/AI to real-world problems
• Experience leading applied science projects from concept to production
• Programming experience in Python and ML frameworks
• Demonstrated expertise in data quality, dataset evaluation, or synthetic data generation

Responsibilities

• Drive scientific innovation in data generation, validation, evaluation, and automation, setting the vision for intelligent, ML-driven services that manage the end-to-end data lifecycle, and partnering with leaders across Microsoft to ensure Microsoft’s data investments deliver maximum AI impact
• Define the scientific vision and roadmap for ML- and agent-driven automation of the dataset lifecycle, including ingestion, validation, PII detection and handling, governance, discovery, and feedback loops
• Lead the design and deployment of advanced ML pipelines for synthetic data generation, augmentation, and human-in-the-loop workflows
• Establish evaluation methodologies to measure dataset quality, coverage, and downstream impact on large-scale model training
• Advance state-of-the-art methods for data-centric AI, including LLM-based evaluation, gap mining, and bias/fairness detection
• Mentor and grow a team of applied scientists, providing technical leadership and fostering a culture of excellence
• Collaborate with engineering leaders to integrate research into scalable, production-ready platform services
• Influence Microsoft’s AI strategy by shaping best practices for data-driven model development and sharing learnings internally and externally

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.