Interested in gaining hands-on experience with the pioneers of Machine Learning? BigML is looking for enthusiastic interns to join the BigML Team.
Machine Learning is a skill that will be in the center of innovation for the next decades, and interning at BigML provides the opportunity for advanced students and young professionals to work with our top-notch, international team while contributing to the development of our industry leading Machine Learning platform. Find out about the BigML Internship Program from the firsthand experiences of our interns in Valencia, Spain and Corvallis, Oregon.Apply today!
Potential internship projects include building new bindings for BigML, adding new resources to the BigML Gallery, updating BigML Tools such as BigML for Alexa, developing benchmarking tests, creating tutorial videos, among many other exciting opportunities.
If you are passionate about Machine Learning but your area of interest does not fall into one of the categories listed, you are still more than welcome to apply. In fact, we encourage you to pitch your own ideas on how to use BigML to solve new problems or how to improve the BigML platform. Send your project proposals to firstname.lastname@example.org.
Here at BigML we embrace distributed teams and enjoy working remotely. No matter where you live, we want to get to know you and show you the advantages of working from your home office! Nevertheless, most of our team members are located in the Corvallis, Oregon, US, Valencia, Spain, and Edinburgh, Scotland areas, the three of them thriving hubs for innovation and great places to live, in case you wish to temporarily move close to the BigML Team.
Please send the following application materials to email@example.com and we will follow up with you shortly.
Propose a new feature or functionality to be added the BigML platform.Software Engineering
Build a predictive application using BigML.IT
Automate backend tasks on BigML.Marketing
Come up with a better way to explain something as complex as Machine Learning to everyone, and how to reach the first million registered customers faster.Business Development
Find and help describe ways in which our customers can save or make money with Machine Learning.