Internship Openings

2 / 11 Intern positions were found.

Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

  • DA1099: Data Science Opportunity in Large Scale Industrial Data

    • The Data Analytics Group at MERL is seeking a highly motivated and qualified Data Scientist to join our internship program effective immediately. The ideal candidate is expected to have a strong background in Data Science with experience in data wrangling, machine learning, and presentation. We prefer candidates who have had experience with large heterogeneous and incomplete data. Candidates should have strong coding experience in Python or R. Experience with cloud data collection systems would be nice. Candidates who hold an advanced degree in Data Science or Engineering are preferred, but we welcome applications with open source experience particularly in public competitions such as those found on

    • Research Area: Data Analytics
    • Host: Emil Laftchiev
    • Apply Now
  • DA1092: Intern in Robotics and Grippers

    • The Data Analytics group is seeking an intern to work on the problems of multi-degree-of-freedom robot grippers for poorly defined or dynamically changing tasks. This task extends from the mathematics of gripping, to actual fabrication and testing of new robot gripper designs in an RL (reinforcement learning) robot control environment. Gripper technology is intentionally not limited to commercially available hardware; designs particularly advantageous to RL control are especially welcomed.

    • Research Area: Data Analytics
    • Host: Bill Yerazunis
    • Apply Now