Internship Openings

9 / 40 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.

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).


  • CV1364: Graph neural networks for autonomous driving

    • MERL is looking for a self-motivated intern to work on graph neural networks. There are several available topics to choose from. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision. Proficiency in Python programming is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computer Vision, Machine Learning, Signal Processing
    • Host: Siheng Chen
    • Apply Now
  • CV1372: Computer Vision for Biased or Scarce Data

    • MERL is looking for a self-motivated intern to work on data scarcity and bias issues for computer vision. The topics in the scope include (but not limited to): domain adaptation, generative modeling, transfer/low-shot/unsupervised/webly-supervised learning, etc. The ideal candidate would be a PhD student with a strong background in computer vision and machine learning. Proficiency in Python programming and familiarity in at least one deep learning framework are necessary. The ideal candidate is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is expected to be at least 3 months with a flexible start date.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    • Host: Kuan-Chuan Peng
    • Apply Now
  • CV1374: Efficient Deep Networks

    • MERL is looking for a self-motivated intern to work on the problem of learning deep networks that are both memory and time efficient. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision and some experience with techniques related to model compression, knowledge distillation, etc. Proficiency in Python programming and TensorFlow or PyTorch is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computer Vision, Machine Learning
    • Host: Mike Jones
    • Apply Now
  • CV1365: Machine learning for 3D computer vision

    • MERL is looking for a self-motivated intern to work on machine learning for 3D computer vision. There are several available topics to choose from. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision. Proficiency in Python programming is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computer Vision, Machine Learning
    • Host: Siheng Chen
    • Apply Now
  • CV1386: Machine Learning for Computer Vision

    • MERL is looking for a self-motivated intern to work on machine learning for computer vision. There are several available topics to choose from. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision. Publication in a top-tier machine learning or computer vision venue (NIPS, CVPR, ECCV, ICCV, ICML, PAMI, etc) is preferred. Proficiency in Python programming is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The internship would be 3-6 months, and the start date is flexible.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    • Host: Jeroen van Baar
    • Apply Now
  • CV1373: Video Anomaly Detection

    • MERL is looking for a self-motivated intern to work on the problem of video anomaly detection. The intern will help to develop new ideas for improving the state of the art in detecting anomalous activity in videos. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision and some experience with video anomaly detection in particular. Proficiency in Python programming is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computer Vision
    • Host: Mike Jones
    • Apply Now
  • CV1375: Computer Vision for Robotic Manipulation

    • MERL is looking for a highly motivated intern to work on computer vision for robotic manipulation. There are several available topics to choose from including active perception, grasp detection, and intent recognition for human-robot interaction. The ideal candidate would be a Ph.D. student with a strong background in computer vision, deep learning, and/or robotics. Proficiency in Python programming is necessary and experience with ROS is a plus. Successful candidate will collaborate with MERL researchers to develop algorithms, conduct experiments, and prepare manuscripts for scientific publications. Start date is flexible and expected duration of the internship is at least 3 months. Interested candidates are encouraged to apply with their recent CV, list of related publications, and/or links to GitHub repositories (if any).

    • Research Areas: Computer Vision, Machine Learning, Robotics
    • Host: Siddarth Jain
    • Apply Now
  • CV1376: Visual Reasoning

    • MERL is looking for a self-motivated intern to work on problems at the intersection of visual reasoning, representation learning, and language models. The ideal candidate would be a PhD student with a strong mathematical background in machine learning and computer vision and who has published at least one paper in a top-tier machine learning or computer vision venue (NIPS, CVPR, ECCV, ICCV, ICML, PAMI, etc). Prior experience in using deep learning methods for visual reasoning tasks (such as scene-graph-based inference, compositional reasoning in VQA, image/video captioning, physics-based reasoning, etc) is a plus. Proficiency in Python and PyTorch is expected. The intern will collaborate with MERL researchers to invent novel machine learning models, conduct experiments, and publish in top-tier venues. The internship is for 3-6 months with flexible start date.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Speech & Audio
    • Host: Anoop Cherian
    • Apply Now
  • CV1385: Embedded Computer Vision

    • MERL is seeking a self-motivated intern to work on embedded computer vision systems, with a particular focus on studying different embedded platforms and tool chains for computer vision automotive applications. The ideal candidate should have a Master’s degree related to automotive technology, experience working with high-performance embedded devices, and NOT be enrolled in a PhD program. Some knowledge of deep learning and computer vision would be highly valued, as is experience with sensor fusion algorithms. Proficiency in software development in C++ and Python is required as are strong communication and writing skills. The intern will collaborate closely with both researchers at MERL as well as engineers in our applied research team working on ADAS and autonomy in Detroit. The internship is for 6 months with a flexible start date. There is also an opportunity for full-time employment in our applied research team after successful completion of the internship.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    • Host: Alan Sullivan
    • Apply Now