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Remote - US: All locations

Principal Machine Learning Engineer

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), search relevance, recommender systems, 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)

Total Rewards

US Zone 1
$284,800—$385,200 USD
US Zone 2
$256,300—$346,700 USD
US Zone 3
$227,800—$308,200 USD

The range(s) listed above is the expected annual salary/OTE for this role, subject to change.

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).

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 DC metro, and West Virginia (DC metro)
• US Zone 3: All other US locations

Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations.

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
  • (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).

Other open positions

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.