Job Description

Company Description

Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We\xe2\x80\x99re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today.

Wouldn\xe2\x80\x99t it be great if our working environment\xe2\x80\x94and the tools we use\xe2\x80\x94were designed with people\xe2\x80\x99s actual needs in mind? Imagine if every minute at work were well spent\xe2\x80\x94if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots.

The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history.

Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you\xe2\x80\x99ll join us on the journey.

Team Description

Our Engineering team is working to simplify the way people work together. They\xe2\x80\x99re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.

Role Description

As a Staff Machine Leaning Engineer for this new division, you will be able to drive the future direction of a new initiative and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the product org to create and build delightful new experiences.

As a ground floor opportunity for this startup team, we need this staff engineer to build a top-tier truth-seeking culture with a lot of focus on impact and execution!

Responsibilities

You will serve as the ML thought leader to adopt and get ahead in the fast evolving landscape of ML
You will design, build, evaluate, deploy and iterate on machine learning models with thousands to billions of parameters (or more!)
You will push the limits of whats considered possible at scale and generate gains by leveraging the latest development in AI
You will work across teams and functions to bring your models, and features not considered possible before to life

Requirements

BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
10+ years of engineering experience with 6+ years building Machine Learning or AI systems
Experience working in a start-up or in a start-up like environment
Strong industry experience working with large scale data systems
Strong analytical and problem-solving skills
Familiarity with the latest development in LLMs
Proven software engineering skills across multiple languages including but not limited to Python
Experience with Machine Learning software tools and libraries (e.g. TF, PyTorch, HuggingFace, LangChain etc.)

Preferred Qualifications

PhD in Computer Science or related field with research in machine learning
Experience building 0\xe2\x86\x921 ML products at large (dropbox-level) scale or multiple 0\xe2\x86\x921 products at smaller scale including experience with large-scale product systems
Experience with one or more of the following: Recommendation Systems, Search, Large Language Models (LLMs)

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).