AI / ML Research Intern – Multimodal

Company : Vegah LLC

Location : Remote

Type : Internship-to-Hire (3–4 months, potential conversion to paid role)

About the Role

Vegah LLC is seeking exceptionally driven AI / ML Research Interns to work on multimodal models and agentic applications. This role is designed for individuals who thrive in fast-moving environments, stay ahead of AI advancements, and can deliver real value with minimal guidance. If you're looking for a résumé booster, this role is not for you.

Important : Please read the entire JD and understand the requirements clearly. Do not be in a rush or impulsive to apply without understanding the JD, failure of which will only lead to rejection of your submission. You will have 3 rounds / stages as part of screening process and you will be moved from stage to stage accordingly.

Responsibilities

• Build, fine-tune, and evaluate multimodal LLMs (text, image, video, audio).
• Design autonomous AI agents & workflows using LangChain, AutoGen, CrewAI, LlamaIndex, Haystack, etc.
• Implement retrieval-augmented generation (RAG) pipelines with vector databases (Pinecone, Weaviate, FAISS).
• Develop and deploy production-grade APIs (Flask / FastAPI, Docker, GitHub Actions, CI / CD).
• Conduct independent research on cutting-edge models, frameworks, and tools — then apply findings to real-world use cases.
• Join impromptu working sessions and meetings aligned to US CST hours.

Requirements

Strong foundations in Deep Learning & ML (CNN, RNN, LSTM, Transformers, Attention).

Hands-on with PyTorch, HuggingFace, LangChain (or similar).

Exposure to multimodal models (e.g., GPT-4o, Claude, Gemini, LLaVA, Kosmos-2).

Excellent Python skills (NumPy, Pandas, PySpark).

Experience with APIs, Flask / FastAPI, Docker, GitHub Actions.

Familiarity with cloud (AWS / GCP / Azure) is a plus.

Self-motivated, independent researcher who thrives on solving problems without step-by-step guidance.

Ability to work US CST hours and be available for ad-hoc meetings.

What We Offer

Work on cutting-edge AI projects in multimodality & agent-driven systems.

Mentorship from AI practitioners solving real-world challenges.

Flexible but CST-aligned hours.

A chance to publish and showcase work (papers, repos, demos).

Conversion to paid role / full-time opportunity for outstanding contributors.

Application Process

Please submit :

Resume / CV

Cover letter highlighting your independent research, agentic / multimodal work, and motivation

Links to GitHub, HuggingFace, Kaggle, or publications

Any hackathon results, certifications, or research outcomes

Important : This role is only for candidates who are passionate about building value for the company and pushing AI boundaries — not those seeking a line item on their CV.

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