AI/ML Engineering Intern

About Thinklude

Thinklude is a B2B SaaS platform that bridges communication gaps between Deaf and Hearing individuals. Using a proprietary AI system, the platform enables real-time, accurate conversion between speech and sign language across more than 125 languages. Thinklude works with organizations to build accessible products, services, and environments by integrating intelligent accessibility solutions into real-world systems.

Our mission is to make communication universally accessible by combining advances in artificial intelligence, multimodal systems, and assistive technology.

Role Overview

We are looking for an AI / ML Engineer Intern who is excited to work on applied machine learning problems in accessibility technology. In this role, you will work on LLM-driven systems, natural language processing, and computer vision models that power Thinklude's core products, including sign language recognition and multimodal communication systems.

You will contribute to research, model development, and deployment pipelines while collaborating with engineers and product teams to build scalable AI systems used in real deployments.

Key Responsibilities

• Research, develop, and deploy AI/ML models including LLM-based solutions for Thinklude's core products
• Build and maintain LLM pipelines including fine-tuning, evaluation, and deployment workflows
• Collect datasets, train models, and develop end-to-end deep learning pipelines
• Develop systems for NLP, computer vision, and multimodal AI applications
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug issues across the machine learning and deployment stack
• Participate in code reviews and collaborate with the engineering team on model improvements

Requirements

• Proven experience with Python and ML frameworks such as PyTorch and Hugging Face Transformers
• Strong understanding of Object-Oriented Programming concepts
• Experience working with Natural Language Processing and/or Computer Vision (experience in both is preferred)
• Hands-on experience with Large Language Models including fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), or agent frameworks
• Familiarity with version control systems such as Git
• Strong analytical and problem-solving abilities
• Good communication and collaboration skills
• Experience working with LLM-based coding agents or AI-assisted development tools

Role Details

• Remote internship
• Duration: 6 months
• Stipend: 25,000 30,000 per month
• Flexible work hours