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.

Total Rewards

Dropbox takes a number of factors into account when determining individual starting pay including job and level they are hired into location/metropolitan area skillset and peer compensation.  We target most new hire offers between the minimum up to the middle of the range.

Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

Current Salary/OTE Ranges (Subject to change): • US Zone 1: $210800 - $248000 - $285200. • US Zone 2: $189700 - $223200 - $256700. • US Zone 3: $168600 - $198400 - $228200.   Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows: • US Zone 1: San Francisco metro New York City metro or Seattle metro • US Zone 2: Austin (TX) metro Chicago metro California (outside SF metro) Colorado Connecticut (outside NYC metro) Delaware Massachusetts New Hampshire New York (outside NYC metro) Oregon Pennsylvania (outside NYC or DC metro) Washington (outside Seattle metro) Washington DC metro and West Virginia (DC metro) • US Zone 3: All other US locations