Context: this was a giant "subtweet" of the douchebag who (briefly) took over as co-host of At the Movies and violated every single one of these rules.
Dropbox | Machine Learning Engineer | New York City, NY (SF and Seattle also possible) | Onsite, full-time
Dropbox is used by over half a billion people to share knowledge and coordinate work in organizations large and small. Our Machine Learning (ML) team is working on a variety of applications to make this process much easier and reduce the “work about work” that consumes a large part of many people’s days.
From images and videos to documents and audio (in every language!), we tackle it all. We leverage the full range of classic & modern ML techniques (whatever a problem calls for), including {semi,un,}supervised learning, deep learning of all flavors (from CNNs to LSTMs and beyond), and online/interactive learning.
This involves investments into a number of different areas, including deep understanding of many different content types, extracting and representing knowledge to build connections between items, and analyzing file activity and hierarchies — at scale! — to help keep teams more organized and individuals more focused on the work that really matters.
We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, or knowledge extraction. We’re growing an ML team within our NYC office and looking for both ML engineers and a NYC-based manager for this team. In addition, we also have openings in our existing ML teams in San Francisco/Bay Area and Seattle as well.
Responsibilities:
- Work within the Machine Learning Team to prototype, design, code, train, test, deploy, and iterate on large scale machine learning systems.
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design.
- Help shape the direction of machine learning and artificial intelligence at Dropbox.
Benefits and Perks:
- Having tremendous impact on products used by hundreds of millions of people around the world
- Working with a highly skilled and experienced ML team with backgrounds in industry & academia, across many different fields
Dropbox | Machine Learning Engineer | San Francisco, CA | Onsite, full-time
Dropbox’s Machine Learning team develops high-impact solutions that touch millions of people and a lot of data. From images and videos to documents and audio (in every language!), the Dropbox ML team tackles it all. We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including {semi,un,}supervised learning, deep learning of all flavors (from CNNs to LSTMs and beyond!), and online/interactive learning.
We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, and/or deep learning.
Responsibilities:
- Work within the Machine Learning Team to prototype, design, code, train, test, deploy, and iterate on large scale machine learning systems.
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design.
- Help shape the direction of machine learning and artificial intelligence at Dropbox.
Benefits and Perks:
- Getting to make a tremendous impact on our infrastructure & products, which are used by hundreds of millions of people around the world
- Working with a highly skilled and experienced team (small, but growing fast!) with backgrounds in industry & academia, across many different fields
Dropbox | Machine Learning Engineer | San Francisco, Seattle, New York | Onsite, full-time
Dropbox’s Machine Learning team develops high-impact solutions that touch millions of people and a lot of data. From images and videos to documents and audio (in every language!), the Dropbox ML team tackles it all. We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including {semi,un,}supervised learning, deep learning of all flavors (from CNNs to LSTMs and beyond!), and online/interactive learning.
We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, and/or deep learning.
Responsibilities:
- Work within the Machine Learning Team to prototype, design, code, train, test, deploy, and iterate on large scale machine learning systems.
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design.
- Help shape the direction of machine learning and artificial intelligence at Dropbox.
Benefits and Perks:
- Getting to make a tremendous impact on our infrastructure & products, which are used by hundreds of millions of people around the world
- Working with a highly skilled and experienced team with backgrounds in industry & academia, across many different fields
Dropbox | Machine Learning Engineer | San Francisco, Seattle, New York | Onsite, full-time
Dropbox’s Machine Learning team develops high-impact solutions that touch millions of people and a lot of data. From images and videos to documents and audio (in every language!), the Dropbox ML team tackles it all! We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including {semi,un,}supervised learning, deep learning of all flavors (from CNNs to LSTMs and beyond!), and online/interactive learning.
We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, and/or deep learning.
Responsibilities:
- Work within the Machine Learning Team to prototype, design, code, train, test, deploy, and iterate on large scale machine learning systems.
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design.
- Help shape the direction of machine learning and artificial intelligence at Dropbox.
Benefits and Perks:
- Getting to make a tremendous impact on our infrastructure & products, which are used by hundreds of millions of people around the world
- Working with a highly skilled and experienced team with backgrounds in industry & academia, across many different fields
Dropbox | Machine Learning Engineer | San Francisco, Seattle, New York | Onsite, full-time
Dropbox’s Machine Learning team develops high impact solutions that touch millions of people and a lot of data. From images and videos to documents and audio (in every language!), the Dropbox ML team tackles it all! We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including {semi,un,}supervised learning, deep learning of all flavors (from CNNs to LSTMs and beyond!), and online/interactive learning.
We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, and/or deep learning.
Responsibilities:
- Work within the Machine Learning Team to prototype, design, code, train, test, deploy, and iterate on large scale machine learning systems.
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design.
- Help shape the direction of machine learning and artificial intelligence at Dropbox.
Benefits and Perks:
- Getting to make a tremendous impact on our infrastructure & products, which are used by hundreds of millions of people around the world
- Working with a highly skilled and experienced team with backgrounds in industry & academia, across many different fields
Dropbox | Machine Learning Engineer | San Francisco, Seattle, New York | Onsite, full-time
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 across a number of domains, from computer vision to natural language processing and more. We leverage the full range of classic & modern ML techniques (whatever a problem calls for!), including supervised/semi-supervised/unsupervised learning, deep learning of all flavors (from CNNs to LSTMs and even newer stuff as well), and online/interactive learning. While some of our algorithms run on mobile devices, others require large clusters on our infrastructure.
We're looking for people with either academic or practical backgrounds in machine learning, ideally with experience in natural language understanding, information retrieval, knowledge extraction, or deep learning.
Responsibilities:
- Work within the Machine Learning Team to design, code, train, test, deploy and iterate on large scale machine learning systems.
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design.
- Help shape the direction of machine learning and artificial intelligence at Dropbox.
Benefits and Perks:
- Getting to make a tremendous impact on our infrastructure & products, which are used by hundreds of millions of people around the world
- Working with a highly skilled and experienced team with backgrounds in industry & academia and many different fields
It took me a bit longer than 15 minutes (maybe a hour or so), but this guide really worked for me when I visited Korea for a week last year. I couldn't really believe it was that simple!