Member of Technical Staff - Post-Training

Microsoft is dedicated to advancing post-training methods for AI models and is seeking a highly skilled AI Data & Training Technical Staff to join their team. In this role, you will be involved in creating world-class datasets, training models, and developing scalable data pipelines that impact cutting-edge language and multimodal models.

Responsibilities

• Design & Evaluate Datasets – Build high-quality datasets and benchmarks for training AI models; run ablation studies to measure impact and optimize data effectiveness
• Advance Model Training – Apply deep expertise in pre-training, post-training, and reinforcement learning (RL) for both language and multimodal models
• Develop Data Infrastructure – Create and maintain scalable pipelines for ingestion, preprocessing, filtering, and annotation of large, complex datasets
• Data Quality & Analysis – Assess real-world multimodal datasets (text, image, video, audio, code) for quality, diversity, and relevance; identify gaps and propose improvements
• Tooling & Workflows – Build lightweight tools for dataset auditing, visualization, and versioning to streamline experimentation
• Research & Innovation – Collaborate with cross-functional teams to push research and product boundaries, delivering models that make a real-world impact

Skills

• Bachelor's Degree (complete or in progress) in relevant field AND 3+ months related research internship experience OR Master's Degree in relevant field OR equivalent experience
• Software engineering skills with fluency in Python and modern data libraries
• The ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Master's Degree in relevant field AND 1+ year(s) related research experience OR equivalent experience
• Coding expertise in Python and data libraries (Pandas, NumPy, etc.)
• Proficiency with distributed data frameworks (Spark, Ray, Apache Beam) and cloud ecosystems (Azure, data lakes)
• Hands-on experience with large-scale, unstructured or semi-structured datasets: images, video, audio, and code
• Proven experience training AI models at significant scale
• Demonstrated ability to collaborate within interdisciplinary teams and communicate complex, multimodal research concepts effectively

Company Overview

Company H1B Sponsorship