Intern – LLM/RAG, Machine Learning Engineer

Job not on LinkedIn

🔥 59 minutes ago

🇺🇸 United States – Remote

👨‍🎓 Internship

⚪️ Entry-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

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🗣️🇩🇪 German Required

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Logo of U-Glow

U-Glow

1 - 10 employees

Founded 2020

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

Healthcare • Manufacturing • Logistics

U-Glow is an AI-driven software and consulting firm that develops user-centric, custom software solutions using generative AI, large language models, machine learning, IoT and advanced data analytics. It offers R&D, prototyping and testing, software development, systems engineering and technology due diligence, plus domain-focused applications such as AI tools for medical practices. U-Glow targets business clients with tailored solutions to automate processes, extract insights from data, and enable real-time device visualization and control.

📋 Description

• Develop AI systems comprising LLMs, RAG, databases, parsers, digital avatars, and custom Python functions • Systematically analyze retrieval quality and usability and independently optimize both • Use generative AI for vibe coding to implement high-quality software quickly • Develop pipelines and models in Python and ensure quality through a rigorous testing strategy • Support the optimization of pipeline architecture • Participate in brief team meetings and work closely with various departments • Develop AI-based solutions for operations staff, training and instruction, and sustainable skills development

🎯 Requirements

• Currently studying Computer Science, Data Science, Geoinformatics, or a related field • Experience with Python, Cursor or VS Code, and Git • Interest in LLMs, RAG, and digital avatars • Structured, independent, and solution-oriented approach to work • Ideally, initial GitHub projects, contributions, or personal repositories • Eager to take on responsibility and experiment with new technologies • Very good German and English language skills

🏖️ Benefits

• Work on a genuine project of the future with a strong focus on sustainability and social impact • Valuable portfolio projects for your future career • Learn by doing, with the opportunity to explore and develop your skills independently • Room for experimentation: contribute your own ideas, test models, and try innovative approaches • Open, dynamic working environment with flat hierarchies • Join a young, committed, and supportive tech team • Flexible working hours to help you balance your studies, work, and personal life • 100% remote work • Comprehensive hands-on experience • Opportunity to work independently

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