Design, build, deploy, and refine highly reliable AI agents operating at massive scale.
Power Dropbox Dash's universal agentic search and autonomous organization features, transforming how millions of users collaborate, stay organized, and focus on important work.
Collaborate with teams to deliver high-quality software and meet project objectives.
Requirements
BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience)
8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
Extensive experience working with large-scale distributed data systems and high-throughput production environments.
Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.