Title Project/Trainee in Lilo AI

• We’re building AI-solutions to automate how companies buy their supplies.
• US-based Startup, backed by top-tier Silicon Valley investors.
• Co-founded by Stanford alumni and seasoned entrepreneurs Nadine and Javier, with experience in hospitality and technology.
• Lilo cuts procurement times by over 50%, by unifying suppliers and processes on one platform.
• Trusted by Marriotts, Holiday Inns, Fairfields, and many more.
• Multi-cultural team with global mindset.

We are seeking a Project Trainee with a passion for artificial intelligence and large language models (LLMs). This role is ideal for students or recent graduates with experience in Python and a foundational understanding of AI systems. As a trainee, you will engage in state-of-the-art research, design data processing pipelines using LLMs, and contribute to improving our AI workflows. This is a great opportunity to gain hands-on experience in AI/ML projects and work with cutting-edge technologies.

• Conduct research on the latest LLM algorithms and related technologies.
• Design, code, and automate pipelines for data processing using large language models.
• Test, improve, and extend our existing pipelines and libraries to enhance performance and scalability.
• Curate, revise, and label data for building high-quality training datasets.
• Collaborate with the team to ensure smooth integration of LLM technologies into our projects.

• Python programming skills with the ability to write clean and efficient code.
• C1 or higher proficiency in English, both written and spoken.
• Foundational understanding of AI systems and interest in machine learning technologies.
• Current enrollment in or completion of courses such as ICM3480, IIC3670, IIC2613, or similar AI/ML courses.

• Knowledge of Natural Language Processing (NLP) and large language models.
• Familiarity with Hugging Face tools and libraries.
• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Git version control knowledge for collaborative coding.
• Experience with AWS for cloud computing and model deployment.