Dropbox

Senior Machine Learning Engineer to design, build, and deploy AI agents for Dropbox Dash, focusing on agentic search and autonomous organization features. Responsibilities include developing multi-agent coordination, planning, tool-use, and memory systems, leading ML system design from fine-tuning to inference optimization, and establishing safety and evaluation frameworks. Requires extensive experience in production-scale AI/ML systems, LLM architectures, and Python.

Senior Machine Learning Engineer to design, build, and deploy AI agents for Dropbox Dash's universal agentic search and autonomous organization features. Requires experience with production-scale AI/ML systems, LLM architectures, search/ranking/recommender systems, and building surrounding infrastructure. Preferred experience with agent frameworks, RAG, tool-use, inference optimization, and fine-tuning.

Senior Engineering Manager for Dropbox's Core Media & Intelligence team, responsible for leading 12-20 engineers in developing and shipping next-generation, AI-powered applications. The role involves managing teams, partnering with product managers, driving roadmap execution, and overseeing the development of intelligent vertical solutions leveraging LLMs, autonomous agents, search, retrieval, computer vision, and contextual intelligence. The team will also pioneer AI-driven development practices to accelerate engineering productivity.

Principal Software Engineer at Dropbox focused on core sharing and collaboration, with a significant emphasis on applying AI and LLM-based frameworks to improve customer value and engineering workflows. The role involves defining long-term technical strategy, architecting foundational systems, and hands-on software development, with a focus on responsible AI adoption and scaling AI-powered foundations.

Principal Software Engineer at Dropbox responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in AI, ML, Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences. The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies. The role also involves providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning.

Principal Software Engineer at Dropbox responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in AI, ML, Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences. The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies. The role also involves providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning.

Principal Software Engineer at Dropbox focused on core sharing and collaboration, with a significant emphasis on applying AI and LLMs to improve customer value and engineering workflows. The role involves defining long-term technical strategy, architecting foundational systems, and hands-on software development for consumer-facing products used by millions. Requires practical experience with modern ML, LLM APIs, and agentic frameworks in production, with a focus on quality, cost, and risk.

Senior Engineering Manager to lead a team of 12-20 engineers focused on building next-generation, AI-powered applications on top of Dropbox. The role involves designing and shipping intelligent vertical solutions, leveraging LLMs, building autonomous agents, advancing search and retrieval systems, and integrating computer vision. The team will also pioneer AI-driven development practices to accelerate engineering productivity. Requires significant people management experience, software engineering background, and experience building or integrating with AI products, ideally in a platform or developer-facing API context.