Design and adapt the technical strategy for search within Vannevar’s products, including full-text search, vector databases, LLMs, NLP, and relevance algorithms.
Improve both search latency and relevance while collaborating with product engineers, designers, and mission strategists.
Research and apply emerging technologies and best practices in search/information retrieval to improve index quality, freshness, and retrieval performance.
Design, build, and scale robust backend search solutions for a rapidly growing user base.
Optimize search relevance, accuracy, query performance, and response times.
Improve real-time indexing and ingestion pipelines to keep search results accurate and up to date.
The company is a rapidly growing productivity platform with a global user base. They foster a collaborative, inclusive, and equal-opportunity workplace culture.
Develop, optimize, and maintain production-grade systems supporting agentic search and AI-powered retrieval.
Own and improve search relevance and retrieval components for systems serving real users.
Collaborate with AI research teams to measure model improvements and translate research into production capabilities.
The company is a technology firm building next-generation agentic search and AI-powered retrieval systems. It offers a remote, asynchronous work environment with a focus on engineering excellence and collaboration with AI research teams.
Build, evaluate, and improve ML ranking models for private, team, and brand content search.
Drive relevance and recall improvements, focusing on enterprise user outcomes and emerging surfaces like agent search.
Investigate and resolve quality or relevance regressions in production search while communicating trade-offs clearly.
Canva is redefining how the world experiences design. With headquarters in Sydney and a second campus in Melbourne, the company fosters a flexible, inclusive culture and empowers teams to do their best work.