Internship - Efficient Foundation Models for Edge Intelligence

Mitsubishi Electric Research Laboratories; Cambridge (MA); On-site; USD 66,960 - 89,280; Full time

Benefits offered by this job

Relocation stipend

Covered travel to and from MERL

Monthly Charlie Card for commuting

Health insurance eligibility after 90 days

Immigration support for qualified candidates

Job summary

A leading AI research firm in Cambridge is looking for passionate interns to contribute to innovative research in efficient and sustainable AI systems. This internship offers hands-on experience and a chance to publish at top-tier venues. Applicants should have a strong background in machine learning, proficiency in Python and PyTorch, and a drive for research excellence. The pay range is between $6,000 to $8,000 monthly, with additional perks including relocation support and professional development opportunities.

Qualifications

• Strong understanding of state-of-the-art machine learning and optimization techniques.
• Proficiency in Python and PyTorch, familiar with other deep learning frameworks.
• Proven research record and motivation for publication in leading AI conferences.

Responsibilities

• Contribute to next-generation machine learning techniques for real-time AI systems.
• Conduct high-quality research leading to publications in premier AI conferences.

Skills

Generative models

Efficient architectures

Foundation models

Machine learning

Optimization techniques

Python

PyTorch

Education

Advanced research experience

Job description

Career Opportunities with Mitsubishi Electric Research Laboratories

A great place to work.

Current job opportunities are posted here as they become available.

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
• 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.

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.