About the Internship
We are looking for a hands-on and self-driven Machine Learning Intern to join our research team. If you have strong coding skills in Python, are comfortable working with PyTorch and Hugging Face libraries, and have a good understanding of Vision Transformer (ViT), VLMs, and LLMs architectures, this role is for you.Selected intern's day-to-day responsibilities include:
1. Implement and fine-tune Transformers and related architectures using PyTorch.
2. Develop training pipelines using Hugging Face models and datasets for vision-language tasks.
3. Optimize model performance, experiment with Mixture-of-Experts (MoE) routing strategies, and handle large-scale model configurations.
4. Collaborate with team members to design and execute experiments, ablation studies, and benchmarking tasks.
5. Analyze experimental results, identify bottlenecks, and propose improvements for model efficiency and scalability.
6. Maintain clean, modular codebases and contribute to research prototypes that may lead to publications.
7. Keep up with recent papers and advancements in multimodal learning.
Number of Openings
1 openingsPerks of this Internship
Flexible work hours
Other Requirements
1. are available for the work from home job/internship
2. have relevant skills and interests
3. can start the work from home job/internship between 6th Aug'25 and 10th Sep'25
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
Similar Internship Programs
Flutter Development Internship in Patna at Opebo Industries Limited
Opebo Industries Limited
INR 2000 - 5000 /month
21 August, 2025
2 months
full time
Social Media Marketing Internship in Pune at My Digital Agency
My Digital Agency
INR 6000 - 7000 /month
21 August, 2025
6 months
full time
Social Media Marketing work from home job/internship at Kosh.ai
Kosh.ai
INR 10000 - 14000 /month
21 August, 2025
3 months
full time
E-Commerce Operations Internship in Delhi at Kasaa Hues
Kasaa Hues
INR 7000 - 9000 /month
21 August, 2025
3 months
full time