Research Engineer Intern (Ethical Creative and Protective AI Lab)

Role overview Join a research and engineering team for a three-month internship focused on responsible multimodal generative AI. You’ll help improve model post-training and evaluation, while contributing to methods and tools that make AI systems more trustworthy and help address risks in their use.

Responsibilities - Help build post-training and evaluation infrastructure for a multimodal AI system. - Fine-tune models using supervised and reinforcement learning methods. - Design and implement metrics to compare fine-tuning approaches. - Develop tools and frameworks for assessing and reducing generative AI risks. - Collaborate with researchers and engineers and contribute to research outputs for conferences or journals.

Requirements - Completed or current PhD study in computer science, machine learning, or a related scientific field. - Strong grounding in machine learning fundamentals and research methods. - Experience with language or vision-language model tools, frameworks, API integration, and prompt engineering. - Interest in responsible AI development and strong analytical and problem-solving skills. - Clear written and spoken English communication; ability to work independently and propose ideas.

Nice to have - Hands-on experience with reinforcement learning fine-tuning of language or vision-language models.

Benefits and work setup - Three-month internship with a geographically distributed team. - Target pay is $50 per hour, with overtime eligibility.