Machine Learning Engineer

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.

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.

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.

• 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

• 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)

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here .

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):zł21,500 - zł25,200 - zł29,000 per month

Dropbox applies increased tax deductible costs (50%) to remuneration earned by certain qualifying employees (to the extent an employee will be involved in the creation of the software as an “author”) for the transfer of copyrights, in accordance with the relevant provisions of the Personal Income Tax Act.

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).