Senior Applied Scientist, AI Data Platform

@ Microsoft

Overview

Join Microsoft’s CoreAI team as a Senior Applied Scientist, AI Data Platform. In this role, you will help build the AI Data Platform—the foundation for secure, scalable, and reusable datasets powering AI model development.

Responsibilities

You will advance machine learning and data science to improve data quality and automate dataset generation. Key responsibilities include:

• Develop ML-based pipelines for data generation, validation, and augmentation.
• Design and train intelligent agents for dataset lifecycle automation.
• Build evaluation methods for measuring dataset quality and coverage.
• Leverage AI techniques like clustering, classification, anomaly detection, and LLM-based evaluation.
• Collaborate with engineers and AI product teams across Microsoft.

Qualifications

Required qualifications include a degree in Statistics, Computer Science, or a related field plus relevant experience and programming skills in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Practical experience in machine learning or data science and exposure to data analysis and dataset design is essential.

Preferred Qualifications

Preference will be given to candidates with advanced degrees, experience in LLM training pipelines, synthetic data generation, and an understanding of PII detection and data governance. Familiarity with distributed data systems like Spark, Databricks, or Azure Data Lake is a plus.

Key Skills/Competency

• Machine Learning
• Data Science
• Python
• ML Frameworks
• Synthetic Data
• Data Validation
• Intelligent Agents
• Automation
• Data Governance
• LLM Evaluation