Introduction

IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.

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IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

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Your role and 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. This includes the development of frameworks, tools, and infrastructure that support the entire AI lifecycle. The AI Platform speciality requires a deep understanding of AI and machine learning algorithms, software development, and cloud computing, as well as expertise in areas such as 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.

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Required education

Bachelor's Degree

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Preferred education

Master's Degree

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Required technical and professional expertise

• BSc in Computer Science or a related field, with a focus on artificial intelligence, machine learning, or software development.
• 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.

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Preferred technical and professional experience

• 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. Drive innovation in the field, as evident from publications, patents, or opensource activity.

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