Software Development Engineer, AI Trust & Innovation
Core
Design and implement privacy-preserving AI architectures, responsible AI frameworks, and accessibility features for consumer devices like Alexa and Echo.
Role type
Senior Software Development Engineer (AI Trust & Privacy)
Builds
Federated learning systems, differential privacy pipelines, explainable AI interfaces, and privacy dashboards for consumer AI products.
Domain
Consumer electronics, Generative AI, Privacy Engineering
Deliverable
production ML models
Required skills
Distributed systems design, Federated learning, Differential privacy, On-device processing, Explainable AI, Data minimization, Cross-device identity management, Latency optimization, AI safety evaluation, Multimodal system architecture
Preferred skills
Full SDLC experience, Code review leadership, Testing frameworks, Operations experience, Computer Science degree
Technologies
Federated learning frameworks, Differential privacy libraries, On-device AI stacks, Cross-device identity protocols
Responsibilities
Design privacy-preserving data pipelines that minimize data collection while maintaining model quality; Develop explainable AI interfaces to help customers understand AI decision-making; Architect trade-offs between on-device and cloud processing for privacy and performance; Implement transparency controls showing customers data usage; Create low-latency evaluation systems for model safety and bias; Build consent management frameworks for customer data control.
Seniority
Senior, hands-on IC
