Internship - Multimodal Algorithmic Reasoning

First Roles; Massachusetts; On-site; USD 60,000 - 100,000; Full time

Job summary

MERL in Massachusetts seeks a self-motivated intern to research problems at the intersection of multimodal large language models and neural algorithmic reasoning. A Ph.D. student with a strong background in machine learning and computer vision is preferred.

Experience training multimodal LLMs for vision-language tasks and publications in theory or ML venues is desirable. The role offers a competitive salary and exposure to cutting-edge research in a collaborative environment.

Qualifications

• Pursuing a PhD in ML/vision or related field.
• Experience training multimodal LLMs for vision-language tasks.
• Strong background in ML and computer vision.

Responsibilities

• Research problems at the intersection of multimodal LLMs and neural algorithmic reasoning.
• Contribute to experiments, evaluate models, and publish findings.
• Collaborate with researchers and document results.

Skills

Multimodal LLM

ML research

Computer vision

Research experience

Education

PhD student in ML/Computer Vision

Job description

MERL is looking for a self-motivated intern to research on problems at the intersection of multimodal large language models and neural algorithmic reasoning. An ideal intern would be a Ph.D. student with a strong background in machine learning and computer vision. The candidate must have prior experience with training multimodal LLMs for solving vision-and-language tasks. Experience in participating and winning mathematical Olympiads is desired. Publications in theoretical machine learning venu…

Compensation

$60,000 – $100,000/yr

Pay stated by the employer in the source posting.