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Internship Vlm Jobs (NOW HIRING)

Research Scientist, World Models

OR · On-site +1

$155K - $269K/yr

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

LLM / VLM / VLA methods for scene understanding, reasoning, and control. Generative scenario ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

... Internship Focus Areas: * Natural Language Processing (NLP) * Computer Vision * Machine Learning * Large Language Models (LLM) * Vision-Language Models (VLM) * Retrieval-Augmented Generation (RAG)

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models ... Demonstrated research and software engineering experience via an internship, work experience ...

VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models ... internship, work experience, coding competitions, or widely used contributions in open source ...

VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models ... Demonstrated research and software engineering experience via an internship, work experience ...

Internship Vlm information

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$9

$17

$23

How much do internship vlm jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship vlm in the United States is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Vlm vs Volunteer Coordinator?

AspectInternship VlmVolunteer Coordinator
Required CredentialsHigh school diploma or ongoing education, some roles may require specific skillsBachelor's degree often preferred, experience in volunteer management beneficial
Work EnvironmentOffice, community centers, or online settings, temporary or part-timeNonprofit organizations, community events, often full-time
Employer & Industry UsageNonprofits, NGOs, community programsCharitable organizations, nonprofits, community service agencies
Common Search & Comparison IntentYesYes

Internship Vlm typically involves gaining experience in volunteer management or related tasks, often as a temporary position for students or entry-level individuals. Volunteer Coordinators oversee volunteer programs, manage volunteers, and coordinate activities. While both roles focus on community service, internships are more educational and entry-level, whereas Volunteer Coordinators have more responsibility and experience requirements.

More about Internship Vlm jobs
What cities are hiring for Internship Vlm jobs? Cities with the most Internship Vlm job openings:
What are the most commonly searched types of Vlm jobs? The most popular types of Vlm jobs are:
What states have the most Internship Vlm jobs? States with the most job openings for Internship Vlm jobs include:
Infographic showing various Internship Vlm job openings in the United States as of May 2026, with employment types broken down into 16% Internship, 1% As Needed, 1% Full Time, 78% Part Time, 2% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.
Internship - Efficient Foundation Models for Edge Intelligence

Internship - Efficient Foundation Models for Edge Intelligence

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Other

Medical

Posted 7 days ago


Job description

Efficient Foundation Models for Edge Intelligence

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

Internship Details

  • 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 MERLs 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.