Internship Openings

8 / 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).


  • DA1367: Safe reinforcement and deep learning algorithms

    • MERL is seeking a motivated and qualified individual to conduct research in safe reinforcement learning (RL) and deep learning algorithms for robotics applications. The ideal candidate should have solid background in RL. Knowledge of deep learning algorithms is a plus. Publication of the results produced during the internship is anticipated. Duration of the internship is expected to be 3 months. Start date is flexible.

    • Research Areas: Artificial Intelligence, Control, Robotics
    • Host: Mouhacine Benosman
    • 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
  • 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
  • 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
  • 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
  • SP1366: Robust Machine Learning

    • MERL is seeking a highly motivated and qualified intern to work on robust machine learning techniques. The intern will collaborate with MERL researchers on developing novel approaches to address the problem of adversarial examples. The ideal candidate would have research experience in robust machine learning methods and defenses against adversarial examples. A mature understanding of modern machine learning methods, proficiency with Python, and familiarity with deep learning frameworks are expected. Proficiency with other programming languages and software development experience is a plus. Candidates at or beyond the middle of their Ph.D. program are encouraged to apply.

    • Research Areas: Artificial Intelligence, Machine Learning, Signal Processing
    • Host: Ye Wang
    • Apply Now
  • SP1371: Object Tracking and Perception for Autonomous Driving

    • The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in automotive radar-based object tracking and perception for autonomous driving. Previous experience on multiple (point and extended) object tracking, data association, and data-driven object detection/tracking is highly preferred. Knowledge about automotive radar schemes (MIMO array and waveform modulation (FMCW, PMCW, and OFDM)) and hands-on experience on open automotive datasets are a plus. Knowledge on vehicle dynamics is an asset. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, conduct field measurements, data analysis (Python & MATLAB), and prepare results for patents and publication. Senior Ph.D. students with research focuses on signal processing, machine learning, optimization, applied mathematics, or related areas are encouraged to apply. The expected duration of the internship is 3 months with a flexible start date.

    • Research Areas: Artificial Intelligence, Computational Sensing, Dynamical Systems, Machine Learning, Signal Processing
    • Host: Perry Wang
    • Apply Now
  • SP1368: AI-enhanced security

    • MERL is seeking a highly motivated and qualified intern to work on AI-enhanced security. The candidate is expected to develop innovative AI technologies for cybersecurity applications. Candidates should have strong knowledge and hands on experience in the areas of neural network and learning techniques, such as feature extraction, machine learning, deep learning, shallow learning, and distributed learning. Proficient programming skills with Python, Matlab, and C++, and strong mathematical analysis will be required to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Areas: Artificial Intelligence, Machine Learning, Signal Processing
    • Host: K.J. Kim
    • Apply Now