Staff Applied Scientist

Role Description

We are looking for a machine learning leader to build the AI systems that will drive Dropbox’s new initiatives. This will involve driving the design, development, and execution of scientific research projects using modeling, simulation, and optimization to design processes, algorithms, and prediction/classification systems. This work will supports multiple products which touch hundreds of millions of people and a *lot* of data. These AI/ML systems will power Dropbox services like Dash, Dropbox AI and more. 

Models and system designs must handle complex use cases of privacy and drive real-world customer wins and business results while meeting Dropbox AI Principles. 

Responsibilities

• Understand large complex use cases across the business and design the model solution that is scalable, efficient, automated
• Design, develop, and deploy highly innovative modeling techniques, in particular next generation of tools/features empowered by LLMs
• Partner closely with other Dropbox scientists focused on LLM use cases
• Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment impacting multiple products
• Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features
• Mentor and grow the scientists in the team and across Dropbox

Requirements

• MS or PhD in Computer Science or related technical field, or equivalent technical experience
• 10+ years of experience building consumer or enterprise facing large scale ML/AI systems 
• Strong communication skills and a demonstrated passion for helping others leverage machine learning
• Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programming languages.

Preferred Qualifications

• Experience with large scale search systems
• Experience building RAG systems
• Experience with LLMs - finetuning, prompt engineering, etc.