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

Dropbox’s Machine Learning group develops high impact solutions that touch millions of people and a lot of data. From images to documents in every language, the Dropbox ML team delivers solutions using the full range of Machine Learning techniques from computer vision to supervised learning to deep learning to online learning. While some of our algorithms run on mobile devices, others require large clusters on our infrastructure.

Dropbox is looking for Machine Learning Engineers with an academic or practical background in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, or deep learning.

Responsibilities

• You will work within the Machine Learning Team to design, code, train, test, deploy and iterate on large scale machine learning systems
• 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 or MS in Computer Science or related technical field involving Machine Learning, or equivalent technical experience
• 5+ years of experience building machine learning or AI systems
• Strong analytical and problem-solving skills
• Proven software engineering skills across multiple languages including but not limited to Python, C/C++
• Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, Caffe, Theano, Torch)

Desired Qualifications:

• PhD in Computer Science or related field with research in machine learning
• Experience with one or more of the following: natural language processing, deep learning, bayesian reasoning, recommendation systems, learning for search, speech processing, learning from semistructured data, reinforcement or active learning, ML software systems, machine learning on mobile devices

Benefits

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental and vision coverage*
• Retirement Savings through a defined contribution pension or savings plan**
• Dropbox provides a Flexible PTO Policy in addition to your statutory holidays allowing you to unplug, unwind, and refresh
• Dropbox also provides exclusive additional paid time off for all FTE employees across the Globe, in addition to any relevant statutory holidays
• Protection Plans including Life and Disability Insurance*
• A Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much more
• Parental benefits including; Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support 
  

Additional benefits details are available upon request.
 
*Where group plans are not available, allowances are provided
**Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy

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).