Senior Machine Learning Software Engineer - Location Flexible

Dropbox

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 03/27/2021
  • Website: dropbox.com
  • Company Address: , San Francisco, CA, 94107

About Dropbox

Dropbox is the world’s first smart workspace that helps people and teams focus on the work that matters. With more than 600 million registered users across 180 countries, we’re on a mission to design a more enlightened way of working. Dropbox is headquartered in San Francisco, CA, and has 12 offices around the world.

Job Description

Company Description

Dropbox is now a Virtual First company, which means work outside of an office will be the primary experience for all employees. Being Virtual First also means the location of our employees is targeted but flexible. If “Location Flexible” is listed in the job title of a role, the role can be located in any of the states where Dropbox is authorized to do business.** Some roles (including those which do not have “Location Flexible” in the job title), however, may have to be co-located with their teams in certain locations. Please work with your recruiter and your hiring manager to understand any location constraints of a particular role and to communicate your location preferences. **Dropbox is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Dropbox is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Dropbox is registered.

Dropbox is one place to keep life organized and keep work moving. With more than 600 million registered users across 180 countries, we’re on a mission to design a more enlightened way of working. Dropbox is headquartered in San Francisco, CA, and has offices around the world. For more information on our mission and products, visit dropbox.com.

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 an experienced Machine Learning Engineer to join our GTM team. The ML-GTM team uses our large and unique datasets to model, understand, and predict customer behavior to help optimize customer acquisition, engagement, retention, personalization, and more.

Responsibilities

  • You will work with business partners (core product, growth, etc) to ideate projects and deliver value to our customers through the use of applied machine 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 Dropbox customers, 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
  • 8+ 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)

Preferred 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
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).

Benefits and Perks

  • Generous company contribution toward individual medical, dental, & vision insurance coverage
  • 401k + company match
  • Market competitive total compensation package
  • Free Dropbox space for your friends and family
  • Wellness Reimbursement
  • Generous vacation policy
  • 10 company paid holidays
  • Volunteer time off
  • Company sponsored tech talks (technology and other relevant professional topics)

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.