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Image Recognition Machine Learning Internship

Join us in our journey of making machine learning data easier to manage!


MLtwist is looking for a part time Machine Learning modeling intern to join our team. 

Opportunity to learn:

As a Machine Learning modeling intern you will learn…

  • Evaluate quality of data and data annotations (you will not be asked to annotate)
  • Design models to identify objects within given image sets
  • Each scene contains 5 TIFF files comprising a total size of 2gb
  • Work with Google Cloud and other innovative tools to run and test the models
  • Collaborate with our engineering team on additional software development required.
  • Have a real impact through your recommendations and ideas!

  • Pursuit of an advanced degree in Statistics, AI, or Computer Science with an AI focus.

What We Offer:
• Work with a set of talented engineering peers.
• A constant stream of new things for you to learn and an opportunity for growth and mentorship. 
• An awesome project which will look great on your resume as you continue your career journey.

About our Leadership and Advisors:
Business leaders who have spent years at Google, been part of several acquisitions, created and sold companies. Major focus on business development and computer engineering along with experience in working and mentoring bootcamp and entry level graduates.

About MLtwist:
Meet MLtwist, the first of its kind unifying data across different data labeling annotation platforms with a driven purpose to help Data Scientists focus on Data Science, not labeling operations, enabling them to get 50% of their time back!

Our integrations will push your data assets to the best labeling platforms you select for the job, monitor their performance, and convert completed annotations into the custom json file format that your ML team requires. Our services take care of as much or as little of the time consuming complexities that go into data labeling operations --- including designing workflow, testing the right data labeling platforms, writing guidelines & training workforces --- all the way to quality control. 

Leverage our deep expertise & services, live Data Labeling Platform marketplace, real-time dashboards, and robust integrations with 75+ integrated data labeling platforms. Give your data scientists and ML engineers access to not only hundreds of workforces...but hundreds of ways to get out of the weeds of data labeling and back into what they do best. Come twist with us at!