Dropbox
Enterprise · Storage
- HQ
- San Francisco, US
- Founded
- 2007
- Size
- 1,000+
- Website
- dropbox.com
Currently tracking 10 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $154k–$385k (avg $246k).
Enterprise · Storage
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, Dash Agentic AI 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. | AgentPost-train | 9 |
| Senior Machine Learning Engineer, Dash Agentic AI 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. |
| Agent |
| 8 |
| Principal Software Engineer, Core Sharing & Collaboration 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. | Agent | 7 |
| Principal Software Engineer, Core Sharing & Collaboration 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. | Agent | 7 |