Padmi
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Microsoft

cloud computing (Azure) · AI and machine learning (Copilot, CoreAI)

Principal Software Engineer

San Francisco Bay Area · Seattle · OnsitePosted 2 months ago
Software engineeringStaff+Full TimeH-1B track record
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Own the technical direction for Copilot Discover platforms, setting end-to-end architectural strategy. Partner with product, design, data science, and engineering leaders to translate business and user needs into executable architectural plans, well-documented designs, and multi-year roadmaps Set and govern architectural decisions across multiple services and teams, ensuring systems are scalable, secure, reliable, cost-efficient, and grounded in data, telemetry and operational excellence. Raise the technical bar across the organization by establishing flasifible principles, reviewing critical designs, and helping to develop technical leaders within the team. Establish and evolve quality and reliability standards, including test strategies, CI/CD practices, monitoring, alerting, and live-site health. Shape the adoption of AI/ML techniques for content understanding, personalization, summarization, and safety, in close collaboration with MAI and partner teams. Bachelor'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 equivalent experience. Master'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 Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience in ML/AI systems, especially in content understanding, ranking, or personalization. Experience with content platforms, personalization systems, or consumer-facing services at scale. Experience with technologies such as Apache Spark, Kafka, columnar storage, data modeling, and schema evolution. Experience in ML/AI systems, especially in content understanding, ranking, or personalization.

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