Member of Technical Staff, AI Data

Help build the world’s most advanced multimodal dataset at Microsoft AI 

We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.  

The AI Data team at Microsoft AI is responsible for all aspects of data preparation to support our model pre-training operations, including collecting data from the source, extracting and transforming the most useful data, and understanding the impact of changes to data by training and evaluating new models. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience.  

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who: 

• Are passionate about the role of data in large-scale AI model training 
• Will thrive in a highly collaborative, fast-paced environment 
• Have a high degree of craftsmanship and pay close attention to details 
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies 
• Effectively manage multiple responsibilities and can adjust to shifting priorities.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications: 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work 
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work 
  • OR equivalent experience. 

Preferred Qualifications: 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling or data engineering work 
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years of business analytics, data science, software development, data modeling or data engineering work experience 
  • OR equivalent experience. 

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until January 20, 2025.

#Copilot #MicrosoftAI

• Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). 
• Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. 
• Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. 
• Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models. 
• Embody our and .