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 is looking for a Senior Machine Learning Engineer. A Machine Learning engineer develops models, systems and features that leverage the massive scale of Dropbox’s user base to understand and predict user behavior to optimize the experience at all stages of the user journey at Dropbox. Relevant experience can range from working on a wide-variety of optimization, and classification problems, e.g. segmentation, propensity modeling, text/sentiment classification, click-through rate prediction, collaborative filtering/recommendation, or spam detection.
Design, build, evaluate, deploy and iterate on large scale Machine Learning systems
Understand the Machine Learning stack at Dropbox, and build systems that help Dropbox personalize their users’ experience
Work with Product, Design, Infra and Frontend teams to bring your models, and features to life
Work with large scale data systems, and infrastructure
Evaluate the performance of machine learning systems against business objectives
BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
8+ years of engineering experience with 3+ years building Machine Learning or AI systems
Strong industry experience working with large scale data
Strong analytical and problem-solving skills
Proven software engineering skills across multiple languages including but not limited to Python, Go, C/C++
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)
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, graph learning, reinforcement or active learning, ML software systems, machine learning on mobile devices
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 .
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: $217,600 - $256,000 - $294,400.
- US Zone 2: $195,800 - $230,400 - $265,000.
- US Zone 3: $174,100 - $204,800 - $235,500.
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) and Washington DC metro
- US Zone 3: All other US locations
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
(US Only) Competitive 401(k) Plan with a generous company match and immediate vesting
Flexible Time Off/Paid Time Off, paid holidays, Volunteer time off and more
Protection Plans including; Life Insurance, Disability Insurance and Travel benefit plans
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, Child and Adult Care, Day Care FSA (US Only), Fertility Benefits (US Only), Adoption and Surrogacy support and Lactation Support
Mental Health and Wellness benefits Free Dropbox space for your friends and family
Additional benefits details are available upon request.
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).