Microsoft AI
Artificial Intelligence / AI PlatformMicrosoft’s AI org hiring for frontier model infrastructure, pre-training GPU infra, inference, and AI platform roles.
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Microsoft’s AI org hiring for frontier model infrastructure, pre-training GPU infra, inference, and AI platform roles.
Difficulty
4.2/5 — Hard
Timeline
4 to 8 weeks
Formats
Recruiter Screen
30 minutesInitial conversation to discuss background, interest in Microsoft AI, and high-level role expectations.
Technical Phone/Virtual Screen
45-60 minutesA deep dive into technical skills, often involving coding or system design fundamentals.
On-Site / Virtual Loop
4-6 hoursA series of 4-5 interviews covering coding, system design, and behavioral/leadership principles.
How would you design a distributed training system for a large language model?
Focus on data parallelism, model parallelism, and GPU interconnects.
Tell me about a time you had to resolve a conflict within your engineering team.
Focus on empathy, communication, and the final resolution.
Optimize this function to reduce latency in an inference pipeline.
Consider memory management and algorithmic complexity.
Deeply understand the Microsoft AI stack and current research papers.
Be prepared to discuss the challenges of training at scale.
Practice system design with a focus on high-throughput and low-latency requirements.
Align your answers with Microsoft's growth mindset culture.
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