PhD AI Intern: Build Scalable LLMs & Multimodal AI

Akoncagua AI; Lakeland (FL); On-site; USD 34,000 - 55,000; Part time

Job summary

Akoncagua AI is seeking AI Researcher Interns for Winter/Spring 2027 (PhD). The role blends ML research, systems engineering, and product development to build secure AI agents and automated workflows.

You will apply deep-learning theory to train, evaluate, and optimize AI systems at scale, across CV, NLP, and multimodal tasks. Ideal candidates are pursuing a PhD, with independent problem-solving skills and hands-on PyTorch experience.

Qualifications

• Currently pursuing a PhD in computer science, artificial intelligence, electrical engineering, applied mathematics, or a closely related field.
• Completion of at least two years of PhD study before the internship begins.
• Strong command of machine learning fundamentals, including probability, statistics, linear algebra, optimization, and experimental design.
• Broad and rigorous understanding of deep learning across computer vision, natural language processing, and generative AI, including diffusion models and large language models.
• Strong understanding of transformers, attention mechanisms, language modeling, tokenization, embeddings, and modern model architectures.
• Hands‑on experience training or fine‑tuning models with PyTorch or a comparable framework.
• Experience independently solving open‑ended research or engineering problems.

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.

Skills

ML fundamentals

Deep learning

Transformers

PyTorch

Research problem solving

NLP/CV/GenAI understanding

Model architectures

Education

PhD in computer science, AI, EE, applied mathematics, or related field

Tools

PyTorch

Hugging Face Transformers

Job description

Akoncagua AI is seeking AI Researcher Interns for Winter/Spring 2027 (PhD). The role blends ML research, systems engineering, and product development to build secure AI agents and automated workflows.

You will apply deep-learning theory to train, evaluate, and optimize AI systems at scale, across CV, NLP, and multimodal tasks. Ideal candidates are pursuing a PhD, with independent problem-solving skills and hands-on PyTorch experience.