Software Development Engineer II, Devices & Services Trust CX Innovations
Bellevue, WA, United States • Posted June 06, 2026
Job Type:
Full-time
Location:
Bellevue, WA
Posted:
June 06, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role Description
Description
Amazon's Devices & Services Trust CX Innovations team builds responsible AI for consumer devices. We deliver privacy-first, accessible, and trustworthy AI experiences across Amazon's device ecosystem—Alexa, Echo, and ambient computing products. Our mission: push the boundaries of generative AI innovation while maintaining Amazon's high bar for customer trust, privacy, inclusion, and accessibility.
Build foundational systems and consumer-facing features that enable trustworthy AI experiences at scale. Partner with our Product Manager-Technical to design privacy-preserving AI architectures, responsible AI frameworks, and accessibility features. Tackle complex technical challenges at the intersection of AI innovation and customer trust.
Key job responsibilities
What You'll Build
- Architect on-device vs. cloud processing trade-offs that optimize for privacy and performance
- Design and implement federated learning and differential privacy techniqu...
Amazon's Devices & Services Trust CX Innovations team builds responsible AI for consumer devices. We deliver privacy-first, accessible, and trustworthy AI experiences across Amazon's device ecosystem—Alexa, Echo, and ambient computing products. Our mission: push the boundaries of generative AI innovation while maintaining Amazon's high bar for customer trust, privacy, inclusion, and accessibility.
Build foundational systems and consumer-facing features that enable trustworthy AI experiences at scale. Partner with our Product Manager-Technical to design privacy-preserving AI architectures, responsible AI frameworks, and accessibility features. Tackle complex technical challenges at the intersection of AI innovation and customer trust.
Key job responsibilities
What You'll Build
- Architect on-device vs. cloud processing trade-offs that optimize for privacy and performance
- Design and implement federated learning and differential privacy techniqu...
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