About the job
Build AI safety systems that protect millions of Alexa customers every day across modalities( text, audio, image, and so on). As conversational AI evolves, you'll solve challenging problems in Responsible AI by ensuring LLMs provide safe, trustworthy responses, building AI systems that understand nuanced human values across cultures, and maintaining customer trust at scale.
Responsibilities
architect breakthrough Responsible AI solutions that become industry benchmarks, pioneering algorithms that eliminate false information, designing frameworks that hunt down vulnerabilities before bad actors find them, and developing models that understand human values across every culture we serve; lead advance optimization techniques, build evaluation systems that reason like humans, resolve Responsible AI vulnerabilities in Generative AI systems, and mentor the next generation of AI safety experts
Qualifications
Minimum
Deep expertise in advanced computer vision and GenAI models and algorithms for comprehensive visual understanding in RAI domain; Track record of building scalable ML systems across modalities ( text, images and so on); Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team; Collaborate with scientists, engineers, product/program managers and other cross-functional teams; Passion for impactful research—where frontier science meets real-world responsibility at scale
Preferred
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability; Experience with large scale distributed systems such as Hadoop, Spark etc.