Edge AI Intern: Real-Time, Efficient Foundation Models

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

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.