IBM Research is looking to solve problems for clients and see the real-world impact that can be made by inventing what's next in computing, specifically in the domain of AI and machine learning models, including LLMs.
Requirements
- Strong background in artificial intelligence and machine learning, including expertise in areas such as deep learning, LLMs and foundation models.
- Strong background in software development, including proficiency in languages such as Python, Go, or C++.
- Experience with containerization using Docker, Kubernetes, or other container orchestration tools.
- Research and development experience in AI platforms, including the design, implementation, and optimization of AI frameworks, tools, compilers, or infrastructure.
- Developing and optimizing the AI software stack, including components such as data ingestion and pre-processing, model training, model serving, and monitoring.
- Design and development of cloud-based AI platforms that leverage cloud computing resources, including compute, storage, and networking.
Responsibilities
- Conduct research, design, development, and optimization of software platforms that enable the creation, deployment, and management of artificial intelligence and machine learning models, including LLMs.
- Development of frameworks, tools, and infrastructure that support the entire AI lifecycle.
- Developing and optimizing the AI software stack, including components such as data ingestion and processing, model architectures and compilation, training, serving, and monitoring, to support the creation and deployment of AI applications and agentic workloads.
- Research and development experience in AI platforms, including the design, implementation, and optimization of AI frameworks, tools, compilers, or infrastructure.
- Developing and optimizing the AI software stack, including components such as data ingestion and pre-processing, model training, model serving, and monitoring.
- Design and development of cloud-based AI platforms that leverage cloud computing resources, including compute, storage, and networking.
- Collaboration with research and engineering teams to advance the state-of-the-art in AI platforms and AI model architectures.
Other
- BSc in Computer Science or a related field, with a focus on artificial intelligence, machine learning, or software development.
- Master's Degree
- Drive innovation in the field, as evident from publications, patents, or opensource activity.
