Internship on vision language Models

Get to know your team and responsibilities

The selected intern will be responsible for working directly with advanced LLMs and VLLMs, implementing innovative solutions, and conducting experiments to explore the full capabilities of these models. The intern will gain experience in both backend development and user-facing applications, building interactive tools and pipelines that leverage the power of these models.

• Implement and experiment with LLMs and VLLMs, focusing on practical applications and innovative use cases.
• Develop and deploy interactive applications using Streamlit to demonstrate model capabilities.
• Utilize tools such as Langchain and Langgraph to create efficient workflows and integrate language models.
• Collaborate with a team of AI researchers to brainstorm, design, and test new ideas

Who are we looking for?

Your profile

• •  
  • You are fluent in English (TME’s business language)
  • Currently enrolled in a Master’s program in Computer Science, Data Science, or a related field.
  • Strong proficiency in Python programming.
  • Experience with Langchain, Langgraph, and Streamlit.
  • Strong interest in natural language processing, machine learning, and model experimentation.
  • Excellent problem-solving skills, with the ability to work independently as well as collaboratively within a team.
  Preferred Qualifications:
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Knowledge of data visualization techniques and tools.
  • Previous experience in a research setting or relevant internship experience.

   

  Benefits:
  • Hands-on experience working with state-of-the-art AI models.
  • Opportunity to work in a dynamic, research-focused environment.
  • Mentorship from experienced professionals in the field of artificial intelligence.
  • Flexible work hours to accommodate academic schedules.
  • A stipend will be provided for the duration of the internship.
  Learning Outcomes:
  • Gain practical experience in implementing and deploying advanced language models.
  • Develop skills in building interactive applications and workflows for AI systems.
  • Enhance understanding of LLMs, VLLMs, and their real-world applications.
  • Collaborate effectively within a research team and contribute to cutting-edge AI projects.

Starting date

•  May - June

Duration

•  6 months

Confidentiality

Due to business requirement, not all performed projects can be reflected in the internship report. This issue needs to be discussed with candidate/school in advance.

It is mandatory that applicants are students for the entire period of the internship.

We can only accept students with an EEA or Swiss citizenship (not requiring a work permit or visa to be eligible to perform an internship in Belgium)

Our offer

We offer a dynamic multicultural work environment with broad opportunities to learn every day and exciting career pathways that help you explore different disciplines or areas of expertise.

Your benefits

• Flexible working hours and hybrid working (homeworking, 10 days from abroad);
• Company restaurant – Warm dishes, salads and desserts daily, including Japanese and traditional Belgian specialties, as well as a vegan/vegetarian option;
• Sport facilities – Tennis, squash, volleyball, football and softball pitches are available at various Toyota sites;
• Team building activities and other personnel related events;
• Programs to support your physical and social well-being.