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Internship - Vision-Language-Action; VLA) Models Robotic Manipulation

Job in Cambridge, Middlesex County, Massachusetts, 02141, USA
Listing for: Mitsubishi Electric Research Labs
Apprenticeship/Internship position
Listed on 2026-08-24
Job specializations:
  • Research/Development
    Robotics
Job Description & How to Apply Below
Position: Internship - Vision-Language-Action (VLA) Models for Robotic Manipulation

Ph.D. Student Internship in Vision-Language-Action Models for Robotic Manipulation

MERL is seeking a highly motivated Ph.D. student to conduct research on Vision-Language-Action (VLA) models for robotic manipulation. Recent VLA models have demonstrated impressive capabilities in general-purpose robotic manipulation. This internship will investigate new methods for improving the reliability and effectiveness of VLA policies in real-world manipulation tasks. Potential research directions include exploring VLA-based approaches, multi-arm coordination, and adaptive behaviors for industrial manipulation tasks, with particular emphasis on reliability assessment, policy intervention, and corrective-action strategies.

The selected intern will work closely with MERL researchers to develop and implement novel algorithms, deploy and evaluate learning-based policies on robotic platforms, and conduct both simulation and real-world experiments. The intern will also disseminate research findings at leading robotics conferences, including ICRA, RSS, CoRL, and IROS. The internship start date and duration are flexible. Interested applicants are encouraged to apply with an updated CV and a list of relevant publications.

Required Specific Experience

  • Current enrollment in a Ph.D. program
  • Strong background in robot learning for manipulation
  • Hands-on experience with Vision-Language-Action (VLA) models for robotics, such as pi0, OpenVLA, Octo, GR00T N1, or related state-of-the-art models
  • Proficiency with ROS, Python, and deep learning frameworks such as Py Torch
  • Experience with robotic simulation environments and sim-to-real transfer
  • Experience deploying and evaluating learning-based policies on physical robotic platforms
  • A strong publication record or demonstrated research potential

The pay range for this internship position will be 6-8K per month.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed.

Position Requirements
Less than 1 Year work experience
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