Interested in gaining hands-on experience with the pioneers of Machine Learning? BigML is looking for enthusiastic interns to join the BigML Team during 2018!
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 summer 2017 interns.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 email@example.com.
Here at BigML, we embrace distributed teams and like to work remotely, but we strongly encourage our interns to move to one of our office locations (if you do not already live there) to work closer to other team members. Corvallis, Oregon, US and Valencia, Spain are both thriving hubs for innovation and great places to live, so we think you will be happy with the temporary relocation options.
2851 NW 9th, Suite D
Corvallis, OR 97330, US (866) 916-4218
The BigML Team is eager to bring on interns who are:
Please send the following application materials to firstname.lastname@example.org 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.