Internship Openings

11 / 56 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).


  • SP1266: Multi-spectral image enhancement

    • MERL is looking for a self-motivated intern to work on multi-spectral image enhancement. The ideal candidate would be a senior Ph.D. student with strong background in computer vision and image processing. Experience in low light image denoising and image registration is desirable. Proficiency in MATLAB and Python programming is necessary. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computational Sensing, Computer Vision, Signal Processing
    • Host: Dehong Liu
    • Apply Now
  • CV1288: Visual Reasoning and Question Answering

    • MERL is looking for a self-motivated intern to work on problems at the intersection of video understanding and visual question answering. The ideal candidate would be a senior year (>=3) 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.). The candidate must have prior experience in using deep learning methods for video understanding (such as action recognition, human pose estimation and tracking, etc.) and language models (such as in visual question answering or captioning). Working knowledge of generative adversarial networks will be a plus. Proficiency in Python and flexibility in using different deep learning software (TensorFlow, Pytorch, Keras, etc.) is expected. The internship is for 3-6 months with flexible start date.

    • Research Areas: Computer Vision
    • Host: Anoop Cherian
    • Apply Now
  • CV1269: 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. 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: Artificial Intelligence, Computer Vision, Machine Learning
    • Host: Jeroen van Baar
    • Apply Now
  • CV1302: Health Monitoring from Video

    • MERL is seeking a highly motivated intern to conduct original research in the area of monitoring a person's vital signs (e.g., heart rate and heart rate variability) from video. The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in face alignment and tracking, signal processing, machine learning, and health monitoring. Strong programming skills (C/C++, Python, Matlab, etc.) are expected.

    • Research Areas: Computer Vision, Signal Processing
    • Host: Tim Marks
    • Apply Now
  • CV1283: Understanding of Deep Learning

    • MERL is looking for a self-motivated intern to work on understanding of deep learning. The ideal candidate would be a Ph.D. student with a strong background in machine learning, optimization and computer vision. Proficiency in deep learning toolbox such as PyTorch and Tensorflow 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, Optimization
    • Host: Ziming Zhang
    • Apply Now
  • CV1303: Generative Adversarial Networks (GANs)

    • Generative adversarial networks (GANs) and related methods have generated much excitement for their ability to synthesize images and data that appear remarkably realistic. MERL is seeking a highly motivated intern to conduct original research in the area of generative adversarial networks. The successful candidate will collaborate with MERL researchers to design and implement new models, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in GANs and related deep learning methods, as well as strong general knowledge in machine learning. Strong programming skills in Python, flexibility working across various deep learning platforms (e.g., TensorFlow and PyTorch), and previous experience coding GANs are expected.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    • Host: Tim Marks
    • Apply Now
  • CV1304: Uncertainty Estimation for Deep Network Predictions

    • While deep networks have been highly successful at visual regression problems such as face landmark estimation and skeleton tracking, relatively little work has been done on estimating their prediction error. We are seeking a highly motivated intern to conduct original research in the area of uncertainty estimation for deep network predictions. The successful candidate will collaborate with MERL researchers to design and implement new models, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision and machine learning with a strong publication record and experience in deep learning-based facial or body landmark estimation and tracking. Strong programming skills, experience developing and implementing new models in deep learning platforms such as PyTorch and TensorFlow, and broad knowledge of machine learning and deep learning methods are expected.

    • Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
    • Host: Tim Marks
    • Apply Now
  • CV1287: Human Activity Prediction

    • MERL is looking for a self-motivated intern to work on problems related to human action recognition and anticipation. The ideal candidate would be a PhD student with a strong mathematical background in machine learning and computer vision. The candidate must have prior experience in using deep learning on human poses (2D/3D). Working knowledge of generative adversarial networks and deep learning methods for video understanding will be a plus. Proficiency in Python and flexibility in using diverse deep learning software (TensorFlow, Pytorch, Keras, etc.) is expected. The internship is for 3 months with flexible start date.

    • Research Areas: Computer Vision
    • Host: Anoop Cherian
    • Apply Now
  • CV1268: Generative Synthetic Characters

    • MERL is looking for a self-motivated intern to work on generative approaches in machine learning for (realistic) synthetic 3D character models. The ideal candidate would be a Ph.D. student with strong background in machine learning for computer graphics. 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: Jeroen van Baar
    • Apply Now
  • CV1273: Exploring boosted deep networks for computer vision

    • MERL is seeking an intern with expertise in neural networks and machine learning in general to work on a project exploring the combination of boosting with deep networks for applications to computer vision problems. The ideal candidate would be proficient in TensorFlow or PyTorch and have a strong machine learning and computer vision background.

    • Research Areas: Computer Vision, Machine Learning
    • Host: Mike Jones
    • Apply Now
  • DA1290: 3D SLAM and Machine Learning for Drones

    • MERL is seeking a motivated and qualified individual to conduct research in 3D SLAM and deep learning for drone applications. The ideal candidate should have solid background in 3D SLAM. Knowledge of deep learning algorithms and experience working with drone testbeds 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, Computer Vision, Robotics
    • Host: Mouhacine Benosman
    • Apply Now