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Microsoft AI is looking for a Member of Technical Staff – Reinforcement Learning Systems to help build the world’s most advanced reinforcement learning systems. We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team – from training trustworthy and capable agents and powerful reasoning models to helpful and conversational assistants.
Job Responsibility:
Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures
Benchmark GB200 and AMD MIxxx GPU clusters
Gather data and insights to develop the pretraining compute roadmap
Care deeply about conversational AI and its deployment
Actively contribute to the development of AI models that are powering our innovative products
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Excel in programming (especially parallel/concurrent and distributed), software engineering, and system design
Have experience in large-scale systems, preferably having built some components from scratch
Thrive in a highly collaborative, fast-paced environment
Have a high degree of craftsmanship and pay close attention to details
Effectively manage multiple responsibilities and can adjust to shifting priorities
Nice to have:
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience with generative AI
Experience with distributed computing
Experience in leading technical projects and supporting architectural decisions with data
A background in machine learning
Backgrounds in mathematics, competitive programming, and related domains