Software Development Engineer, AI Trust & Innovation
Amazon
Amazon
Join Amazon's Devices & Services Trust CX Innovations team to pioneer the future of responsible AI in consumer devices. We focus on delivering privacy-first, accessible, and trustworthy AI experiences utilized by millions daily across Amazon's ecosystem, including Alexa and Echo. Our commitment is to advance generative AI innovation while upholding Amazon's stringent standards for customer trust, privacy, inclusion, and accessibility.
This Software Development Engineer II role is pivotal in constructing the core systems and customer-facing features that enable trustworthy AI at scale. You'll collaborate closely with senior engineers and management to design and implement privacy-preserving AI architectures, robust responsible AI frameworks, and essential accessibility features, setting the benchmark for consumer AI products.
Develop and implement privacy-preserving AI systems using techniques like federated learning and differential privacy for on-device and hybrid architectures. Construct efficient data pipelines that minimize data collection while maintaining model quality. Create comprehensive consent management frameworks and data minimization systems to empower customers with control over their data. Architect strategic trade-offs between on-device and cloud processing to optimize both privacy and performance.
Build consumer-facing trust features, including explainable AI interfaces that clarify AI decision-making processes. Develop transparency controls that inform users about data usage. Create intuitive privacy dashboards and settings for meaningful user control over AI experiences. Implement cross-device identity management with a foundational privacy-first design.
We are looking for a Software Development Engineer II with at least 3 years of professional software development experience, excluding internships. A minimum of 2 years in designing or architecting new and existing systems, including experience with design patterns, reliability, and scaling, is essential.
Experience within the video games industry, supporting title development, release, or live operations, is required. Proficiency in at least one software programming language is a must.
Preferred qualifications include 3+ years of experience across the full software development life cycle, encompassing coding standards, code reviews, source control management, build processes, testing, and operations. A Bachelor's degree in computer science or an equivalent field is beneficial.
Amazon
AI / Machine Learning