The role involves building and evolving distributed services for large-scale reinforcement learning at CoreAI. The team focuses on enhancing the performance and reliability of AI platforms that support advanced models. You will play a crucial role in optimizing workflows and debugging complex interactions between models and hardware. The position emphasizes collaboration and innovation in AI infrastructure and compute orchestration.

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Python, or Java, OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.