Member of Technical Staff (AI Software Engineer, Multimodal)
Perplexity · San Francisco
Perplexity is hiring builders to join our Multimodal AI group, an industry-leading team defining the next generation of human-AI interaction. Our team is creating experiences that move beyond the touch interface, allowing people to communicate with AI through the form factors that best meet their needs. These include through voice, images, video, or new modalities we have yet to invent. As an engineer on the Multimodal AI team, you will work across the stack to build the product experiences and platform systems that make this possible across our applications. Our stack spans immersive UIs, realtime audio processing, evaluation systems, backend infrastructure, and supporting libraries and SDKs. We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and multimodal platform systems for Perplexity. - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of m