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Join a team developing embedded software and network-stack support for next-generation networking hardware used in distributed AI/ML systems. Work on system design, performance, reliability, and customer issues.

Build production AI features that personalize shopping discovery and recommendations. Work across technical teams to deliver reliable, scalable customer experiences and improve them through experimentation and data.

Develop and launch machine-learning technologies for personalized recommendations and customer experiences, collaborating with scientists, engineers, and product partners.

Develop and apply product design-for-X methods and support quality and reliability across product design and volume manufacturing.

Join a team responsible for PCIe and Ethernet performance and reliability across cloud servers. Integrate new products, validate server platforms, and resolve system issues spanning hardware, firmware, and software.

Join the Virtual Platforms team to develop environments that enable early software development, system-level validation, and architectural exploration without physical prototypes.

Develop embedded software features for next-generation networking hardware, focusing on high bandwidth, packet throughput, and low latency. The role includes onboarding training in embedded systems, cloud computing, and networking.

PhD students will research, design, and implement advanced scientific and AI solutions, taking projects from initial research through production deployment. Interns are matched with a team based on their research interests. Internships are not remote; duration and full-time or part-time format vary,

Lead research, design, and development of AI technologies for personalization, recommendations, and large language models. Work with scientists, engineers, and product partners to experiment with and launch new features, products, and systems.

Join a large-scale consumer technology team building AI-powered personalization and discovery experiences across web and mobile platforms. The role combines software engineering, experimentation, analytics, and reliable operational ownership.