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.
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.
Your Role and Responsibilities
In this position you will work with software engineering for language models. You'll work with inference servers such as TGI and vLLM, as well as libraries such as pytorch, transformers, langchain and others. We'll be working with a cloud-native computational infrastructure using the Kubernetes platform. Most of the work will be with open-source code, with chances to contribute to relevant open projects.
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Required Technical and Professional Expertise
The prerequisites for this position are a high level of proficiency in the Python language as well as the tools used in language models such as pytorch, transformers, langchain and others. The person is also expected to be familiar with git and the most common workflows used in open source development. As the technologies we'll be using are new and constantly evolving, it's important that the person has plenty of autonomy and a willingness to learn.
Fluent English.
Preferred Technical and Professional Expertise
Good knowledge of distributed systems as well as cloud-native infrastructure technologies such as Kubernetes are a plus for this position. Knowledge of Rust and Go languages is also desirable.