Position Overview

We are seeking a highly motivated Machine Learning Research Intern to
join our team. This role focuses on advancing the capabilities of large
language models (LLMs), vision-language models (VLMs), and their
applications in reasoning tasks.

We offer a dynamic and supportive research environment, and the
opportunity to work on cutting-edge technologies. If you are passionate
about this field and are looking for an exciting opportunity to advance your
research career, we encourage you to apply for this position

As part of this role, you will contribute to the development of algorithms
that enhance reasoning in multi-modal AI systems, with a focus on fine-
tuning LLMs and VLMs, exploring reasoning frameworks, and utilizing
synthetic data for model training.

Responsibilities

• Conduct research and experiments to enhance reasoning capabilities in

• LLMs and VLMs

• Develop and fine-tune multi-modal AI models for tasks requiring sophisticated reasoning

• Explore and implement synthetic data generation techniques to support

• training pipelines

• Publish findings in leading machine learning and AI journals and conferences

• Advocate for cutting-edge AI technologies and contribute to the team's technical strategy

Minimum Qualifications

• A PhD (or equivalent experience) in machine learning, AI, or a related field

• A strong publication record in machine learning, reasoning, or multi-modal AI

• Strong expertise in LLMs, VLMs, and physics

• Proven experience in fine-tuning large models and working with multi-modal data

• Proficiency with modern ML frameworks (e.g., PyTorch, JAX) and programming languages such as Python

• Excellent problem-solving and communication skills