Research AI Engineer Intern 2027 joins IBM Research to build, test, and deploy real-world applications of artificial intelligence. Working alongside researchers and engineers, the individual will translate cutting-edge techniques into practical solutions for enterprise and user-facing applications while developing tools and platforms that improve how systems are built. Key responsibilities include designing and implementing AI solutions using large language models, multimodal models, and agentic frameworks to solve real-world use cases. The role involves building agent frameworks for scalable orchestration, tool integration, and autonomous task execution, alongside creating experimental demos and proof-of-concepts. Required skills include Python programming, machine learning fundamentals, natural language processing, and generative AI knowledge. Preferred qualifications include MLOps experience and a background in open-source contributions or research projects focused on solving complex problems through advanced AI technologies.
Large Language Models
LLMs
Transformer Architecture
Python
PyTorch
Generative AI
Distributed Frameworks
High Performance Computing
Quantum Computing
Hybrid Cloud
Large Language Models
Distributed Systems
Python
Go
C++
Rust
Docker
Kubernetes
RDMA
Software-Defined Networking
Linux Networking
Deep Learning
Machine Learning
High-Performance Computing
vLLM
llm-d
Data Science
Machine Learning
High Performance Computing
Quantum Computing
Hybrid Cloud
Chip Architecture
Semiconductor Research
Data Analysis
Information Technology