Internship Openings

5 / 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).


  • SA1320: Deep Network Information Security

    • We are seeking graduate students interested in helping advance the field of network and information security using the latest developments in deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in deep networks, natural language processing, and network security. The duration of the internship is expected to be 3-6 months. The internship can be scheduled either during the summer or at another time of year.

    • Research Areas: Machine Learning, Speech & Audio
    • Host: Bret Harsham
    • Apply Now
  • SA1357: Audio Analysis and Source Separation

    • We are seeking multiple graduate students interested in helping advance the field of source separation, speech enhancement, and sound event detection in extreme environments using the latest developments in deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidates would be senior Ph.D. students with experience in audio signal processing, speech modeling, probabilistic modeling, and deep learning. The duration of the internship is expected to be 3-6 months. Positions are available immediately and throughout 2020.

    • Research Areas: Machine Learning, Speech & Audio
    • Host: Gordon Wichern
    • Apply Now
  • SA1359: End-to-end speech and audio analysis recognition and understanding

    • MERL is looking for interns to work on fundamental research in the area of end-to-end speech and audio analysis, recognition, and understanding using machine learning techniques such as deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for high impact publication. The ideal candidates would be senior Ph.D. students with experience in one or more of source separation, speech recognition, and natural language processing including practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3-6 months. Positions are available immediately and throughout 2020.

    • Research Areas: Speech & Audio
    • Host: Takaaki Hori
    • Apply Now
  • SA1358: Multimodal AI

    • MERL is looking for an intern to work on fundamental research in the area of audiovisual semantic understanding for scene-aware dialog technologies by combining end-to-end dialog and video scene understanding technologies. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for high impact publication. The ideal candidate would be a senior Ph.D. student with experience in one or more of video captioning/description, end-to-end conversation modeling and natural language processing including practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3-6 months.

    • Research Areas: Speech & Audio
    • Host: Chiori Hori
    • 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