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Do you want to build the AI platform that trains the world's most advanced models? Join CoreAI, where we're building next-generation systems for large‑scale reinforcement learning. Our platforms power the full lifecycle of cutting‑edge LLMs – from rapid experimentation to global production deployment. On our team, you'll play a pivotal role in making large‑scale training and reinforcement learning workflows faster, safer, and more reliable. You'll: Build and evolve distributed services that underpin massive training runs; Improve iteration loops for researchers and engineers; Debug complex interactions between models and hardware; Apply advanced performance optimization techniques that directly impact product quality and operational excellence; Develop deep expertise in ML systems, AI infrastructure, and compute orchestration; Ship platform capabilities that enable mission‑critical AI workloads for customers around the world. Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Job Responsibility:
Build and evolve distributed services that underpin massive training runs
Improve iteration loops for researchers and engineers
Debug complex interactions between models and hardware
Apply advanced performance optimization techniques that directly impact product quality and operational excellence
Develop deep expertise in ML systems, AI infrastructure, and compute orchestration
Ship platform capabilities that enable mission‑critical AI workloads for customers around the world
AI-Native Development: Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Coding: Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code
Design: Leads discussions for and owns the architecture of products/solutions
Engineering Excellence: Drives efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility
Implement: Leverages internal experimentation infrastructures, drives experiments that determine the impact of changes
Reliability and Supportability: Maintains operations of live site service, following security best practices when responding quickly to mitigate issues
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
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
5+ years of experience with ML/RL techniques, knowledge of open source LLMs, Kubernetes and containers, cloud services