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: $210,800 - $248,000 - $285,200.
• US Zone 2: $189,700 - $223,200 - $256,700.
• US Zone 3: $168,600 - $198,400 - $228,200.
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
What the Team is Saying
What We Do
We're a global community of more than 2,000 bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.
Why Work With Us
Our remote work model is a deliberate shift to provide greater flexibility, create a level-playing field, and evolve our culture to focus on people over places. Being a Virtual First company has allowed us to focus on our impact and effectiveness, by making investments in our employees according to what they need to do their best work.
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Remote Workspace
Employees work remotely.
While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.
