Software Development Engineer II, Devices & Services Trust CX Innovations

Benefits

Parental leave

Not verified not verified - source not recorded; timestamp not recorded

Non-birth-parent leave

Not verified not verified - source not recorded; timestamp not recorded

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Development Engineer II, Devices & Services Trust CX Innovations Bellevue, Washington, USA 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 techniques for hybrid AI architectures - Develop AI evaluation frameworks to measure model quality, safety, and bias across diverse customer populations - Build observability and monitoring systems for AI performance, hallucination detection, and trust metrics - Implement WCAG 2.1 AA and Section 508 compliance for AI-powered interfaces across voice, visual, and multimodal experiences - Create explainable AI interfaces and transparency controls that show customers what data is used and how - Build privacy dashboards and consent management frameworks that give customers control Key Technical Challenges - Latency vs. Privacy: Optimize response times while maintaining strong privacy guarantees through on-device processing and selective cloud offloading - AI Safety at Scale: Reduce hallucinations to <1% while maintaining

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.