AI Research Intern (PhD)

Akoncagua AI builds domain-specialized AI systems for technically demanding industries, including LLMs, multimodal AI, agentic automation, RAG, evaluation, and production AI infrastructure. The AI Researcher Intern will apply deep learning theory to build, train, adapt, evaluate, and optimize modern AI systems, while developing research workflows and improving large-scale training efficiency.

Responsibilities:

• Brainstorm, develop, and apply machine learning solutions to complex problems across a range of engineering industries
• Train, fine-tune, and evaluate large language models and vision-language models
• Research long-context learning, multimodal reasoning, post-training methods, and model reliability
• Analyze GPU memory usage and training throughput to improve the efficiency of large-scale training
• Develop data pipelines, training curricula, evaluation suites, and reproducible research workflows