At Cloudera, we believe that with data we can make what is impossible today possible tomorrow. We are building the modern platform for machine learning and analytics to help our customers solve some of the world’s greatest challenges with data.
The Machine Learning team is a new group at Cloudera focused on accelerating enterprise data science capabilities through applied research, consulting services, and our software platform. You’ll be working with a talented team around the world and across every function in the business.
We’re looking for people for a few exciting opportunities on the ML team. If one of these might be a match for you, please apply using the links below.
Director of Research and Data Science Services (New York)
In the Cloudera Fast Forward Labs Applied Machine Learning research program, we tackle emerging topics in the field such as Interpretability and Semantic Recommendations. Our advising and consulting practices help our customers with everything from data strategy to prototyping of machine learning applications.
We’re looking for a strong data science leader to join our team. You’ll be managing an eclectic and diverse group of data scientists who split their time between research and client consulting programs. This role is based in our Brooklyn office, and you’ll be working closely with Hilary Mason, Cloudera’s GM of Machine Learning and the Founder of Fast Forward Labs (acquired by Cloudera in September 2017).
Product Marketing Lead, Machine Learning (Bay Area)
Cloudera is looking for an exceptionally talented product marketer to lead marketing strategy and execution for our new machine learning business group. Spanning products from the award-winning Cloudera Data Science Workbench to applied machine learning research and consulting from Cloudera Fast Forward Labs and more, this role offers the opportunity to impact not only the future of Cloudera, but entire industries.
Product Lead, Data Science (Bay Area)
Cloudera is looking for a experienced product manager to lead our machine learning product portfolio, including Cloudera Data Science Workbench. This is a highly visible role that will have a lasting impact on the strategic direction of the company.
Software Engineer Data Science Tools (Bay Area)
Are you an experienced software engineer who wants to help us build a machine learning platform? Come join our engineering team!
Senior Director of ISV (Bay Area/New York)
We’re looking for an experienced business development professional to manage partnerships and ISV for the machine learning program.
If none of these specific opportunities suit you, please do stay tuned for future roles, including internship opportunities. You can also follow along on our mailing list.
More from the Blog
Mar 6 2018
by — A code walkthrough of how to use three.js for large 2D data visualizations. Three.js can smoothly render a large number of points in the browser but there are some tricks to making it work for interactive 2D visualizations. This is the guide that I wish I would have had when I built our most recent prototype. It shows how to enable mouse-directed pan and zoom, circular points, and hover interac...
Mar 28 2018
by — Machine learning techniques are able to organize large amounts of unstructured data. Combined with dimensionality reduction techniques like t-SNE, this capability opens up new ways for us to interact with creative material including sounds, words, and ideas. In this section we highlight three of our favorite recent experiments. The Infinite Drum Machine is a Google Creative Lab experiment by...
Dec 24 2020
by — I have a bit of a cybersecurity background, so a year or two ago I started paying attention to how often data breaches happen - and I noticed something depressing: they happen literally 3+ times each day on average in the United States alone! (For a particularly sobering review check out this blog post.) All that information, your information, is out there, floating through the ether of the i...