Principal Software Engineer - Responsible AI (CoreAI)
Microsoft · microsoft.com
Mountain ViewLead / Manager6+ yrs
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The job in short
A lead / manager full-time Machine Learning / AI Engineer role at Microsoft in Mountain View, asking for 6+ years of experience. Skills mentioned: Python, Java, JavaScript, C++, C#.
PythonJavaJavaScriptC++C#DevOpsMachine learning
Details
- Found
- 35 d ago · posted 2026-10-11
- Location
- Mountain View, CA, US
Full description
Design, and develop large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability. Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans. Evaluate alternative architectures and technologies that best fit the business requirements and service KPIs. Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team's DevOps culture. Drive and uphold the best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry. Embrace a growth mindset and stay up to date with the current and state-of-the-art technologies to improve customer experience and better serve the product's business needs. 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, Go, or Python OR equivalent experience These requirements include, but are not limited to the following specialized security screenings: 6+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems. 4+ years of technical engineering experience with machine learning model development, release, and operations. Ability to navigate the company and influence and inspire peers in engineering and broad product development. Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture. Track record of pursuing and delivering innovative insights that translate to value generation.
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