Principal Machine Learning Engineer, New Initiativ...

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’re 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’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if 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’ll join us on the journey.

Team Description

Our Engineering team is working to simplify the way people work together. They’re 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


We are looking for a technical leader to help shape the Machine Learning agenda for Dropbox’s new initiatives. This will involve developing high impact ML solutions that touch hundreds of millions of people and a *lot* of data. From images to documents in every language, using the full range of Machine Learning techniques from deep learning, interacting with modern LLMs (natural language), computer vision, etc. and executing everywhere from mobile devices to large clusters on our back-end infrastructure.

Responsibilities

• You will work with machine learning experts across Dropbox to help shape where and how we use machine learning
• You will build delightful products and experiences for millions, while working alongside an excellent, multi-functional team across Engineering, Product and Design
• You will help craft the direction of machine learning and artificial intelligence at Dropbox

Requirements

• BS, MS, or PhD in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
• 10+ years of experience building machine learning or AI systems in applied settings
• Demonstrated skill develop deep learning model architectures in practice
• Strong communication skills and a demonstrated passion for helping others leverage machine learning
• Proven software engineering skills across multiple languages Python, C/C++ and ML packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch)

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).