Member of Technical Staff, AI - Pre-Training Platform

Help build the world’s most advanced training platform at Microsoft AI 

We are on a mission to create the leading pretraining platform to develop the world’s most capable AI frontier models. This platform will span one of the world’s foremost GPU clusters, pushing the boundaries of scale, performance, and reliability. 

The AI Pre-training Platform team at Microsoft AI is responsible for all aspects of infrastructure including scalability, benchmarking, kernel development, performance optimizations, communications, and fault tolerance to support our model pre-training operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods 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. We are looking for candidates who: 

• Are passionate about the infrastructure enabling 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.  

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 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 experience in business analytics, data science, software development, or data engineering work 

• OR equivalent experience. 

#Copilot #MicrosoftAI

• Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. 
• 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 .