This Microsoft AI Superintelligence Post-Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development. The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models. We are looking for a highly skilled AI Data & Training Technical Staff to join our team and help push the boundaries of large-scale AI. In this role, you’ll be at the forefront of creating world-class datasets, training front-tier models, developing scalable data pipelines, and driving experiments that directly impact the performance of cutting-edge language and multimodal models. Our work is at the intersection of research, data engineering, and AI model training, and Products.

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.

Embody our Culture and Values