Member of Technical Staff, AI Pretraining Platform

Microsoft; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in London is seeking a talented individual to contribute to building an advanced AI training platform. You will design and develop distributed training infrastructure for multimodal large language models and collaborate with various teams to improve data processing capabilities. A Bachelor’s or Master's degree in Computer Science or related field with relevant experience is required. This role is based on-site with expected collaboration in a dynamic environment.

Qualifications

• Bachelor's or Master's Degree in Computer Science or related field and experience in analytics, data science, software development.
• Experience with HPC and/or parallel programming.
• Experience in the area of pretraining.

Responsibilities

• Design and develop Python and CUDA/HIP C++ code for multimodal model training.
• Build and maintain infrastructure to process petabytes of data.
• Collaborate with teams to improve data recipes through experimentation.

Skills

Infrastructure for large-scale AI model training

Collaboration

Attention to detail

Proactive attitude

Education

Bachelor's or Master's Degree in a relevant field

Tools

Python

CUDA/HIP C++

HPC (High performance computing)

GPU clusters

Job description

Overview

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 most 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.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• 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 culture and values.

Required/Minimum Qualifications

• 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
• Experience with HPC (High performance computing) and/ or parallel programming
• Experience in the area of pretraining
• Experience working with GPU clusters

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, or sex (including pregnancy), or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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