Internship Openings

5 / 25 Intern positions were found.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

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. Employment is considered "at-will," and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.


  • OR0164: Internship - Robotic 6D grasp pose estimation

    • MERL is looking for a highly motivated and qualified intern to work on methods for task-oriented 6-dof grasp pose detection using vision and tactile sensing. The objective is to enable a robot to identify multiple 6-DoF grasp poses tailored to specific tasks, allowing it to effectively grasp and manipulate objects. The ideal candidate would be a Ph.D. student familiar with the state-of-the-art methods for robotic grasping, object tracking, and imitation learning. This role involves developing, fine-tuning and deploying models on hardware. The successful candidate will work closely with MERL researchers to develop and implement novel algorithms, conduct experiments, and publish research findings at a top-tier conference. Start date and expected duration of the internship is flexible. Interested candidates are encouraged to apply with their updated CV and list of relevant publications.

      Required Specific Experience

      • Prior experience in robotic grasping
      • Experience in Machine Learning
      • Excellent programing skills

      The pay range for this internship position will be6-8K per month.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Robotics
    • Host: Radu Corcodel
    • Apply Now

  • CI0213: Internship - Efficient Foundation Models for Edge Intelligence

    • Efficient Foundation Models for Edge Intelligence

      We are seeking passionate and skilled interns to join our cutting-edge research team at Mitsubishi Electric Research Laboratories (MERL), focusing on efficient and sustainable AI. This internship offers a unique opportunity to contribute to next-generation machine learning techniques that enable real-time, edge, and energy-efficient AI systems — with the ultimate goal of publishing at top-tier AI venues.

      Research Focus Areas

      • Edge AI, real-time AI, and compact neural architectures

      • Energy-efficient and hardware-friendly AI

      • On-device, on-premise, and embedded-system AI

      • Generative and multi-modal foundation models with resource constraints

      Qualifications

      • Advanced research experience in generative models, efficient architectures, or foundation models (LLM, VLM, LMM, FoMo)

      • Strong understanding of state-of-the-art machine learning and optimization techniques

      • Proficiency in Python and PyTorch, with familiarity in other deep learning frameworks

      • Proven research record and motivation for publication in leading AI conferences

      Internship Details

      • Duration: Approximately 3 months

      • Start Date: Flexible

      • Objective: Conduct high-quality research leading to publications in premier AI conferences

      If you are a highly motivated researcher eager to push the boundaries of efficient and sustainable AI, we encourage you to apply. Join us in shaping the future of intelligent systems that are not only powerful but also responsible and sustainable.

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

    • Research Areas: Artificial Intelligence, Optimization, Signal Processing, Machine Learning, Computer Vision
    • Host: Toshi Koike-Akino
    • Apply Now

  • CA0153: Internship - High-Fidelity Visualization and Simulation for Space Applications

    • MERL is seeking a highly motivated graduate student to develop high-fidelity full-stack GNC simulators for space applications. The ideal candidate has strong experience with rendering engines, synthetic image generation, and computer vision, as well as familiarity with spacecraft dynamics, motion planning, and state estimation. The developed software should allow for closed-loop execution with the synthetic imagery, and ideally allow for real-time visualization. Publication of results produced during the internship is desired. The expected duration of the internship is 3-6 months with a flexible start date.

      Required Specific Experience

      • Current enrollment in a graduate program in Aerospace, Computer Science, Robotics, Mechanical, Electrical Engineering, or a related field

      • Experience with one or more of Blender, Unreal, Unity, along with their APIs

      • Strong programming skills in one or more of Matlab, Python, and/or C/C++

      The pay range for this internship position will be6-8K per month.

    • Research Areas: Computer Vision, Control, Dynamical Systems, Optimization
    • Host: Avishai Weiss
    • Apply Now

  • ST0215: Internship - Single-Photon Lidar Algorithms

    • The Computational Sensing Team at MERL is seeking an intern to work on estimation algorithms for single-photon lidar. The ideal candidate would be a PhD student with a strong background in statistical modeling, estimation theory, computational imaging, and/or inverse problems. The intern will collaborate with MERL researchers to design new lidar reconstruction algorithms, conduct simulations, and prepare results for publication. A detailed knowledge of single-photon detection, lidar, and Poisson processes is preferred. Hands-on optics experience may be beneficial but is not required. Strong programming skills in Python or MATLAB are essential. The duration is anticipated to be 3 months with a flexible start date.

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

    • Research Areas: Computational Sensing, Computer Vision, Signal Processing, Optimization, Electronic and Photonic Devices
    • Host: Joshua Rapp
    • Apply Now

  • ST0096: Internship - Multimodal Tracking and Imaging

    • MERL is seeking a motivated intern to assist in developing hardware and algorithms for multimodal imaging applications. The project involves integration of radar, camera, and depth sensors in a variety of sensing scenarios. The ideal candidate should have experience with FMCW radar and/or depth sensing, and be fluent in Python and scripting methods. Familiarity with optical tracking of humans and experience with hardware prototyping is desired. Good knowledge of computational imaging and/or radar imaging methods is a plus.

      Required Specific Experience

      • Experience with Python and Python Deep Learning Frameworks.
      • Experience with FMCW radar and/or Depth Sensors.

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

    • Research Areas: Computer Vision, Machine Learning, Signal Processing, Computational Sensing
    • Host: Petros Boufounos
    • Apply Now