ML Systems Engineer, Infrastructure & Cloud

ML Systems Engineer, Infrastructure & Cloud - Basis Research Institute | Built In Basis Research Institute ML Systems Engineer, Infrastructure & Cloud Reposted 24 Days Ago Be an Early Applicant Hiring Remotely in Office, Machaze, Manica, MOZ Remote Mid level Artificial Intelligence • Big Data • Machine Learning • Natural Language Processing The Role ML Systems Engineers at Basis build and maintain reliable infrastructure for distributed machine learning training, optimizing performance and resource use while ensuring compliance and security. Summary Generated by Built In About Basis Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first. About the Role ML Systems Engineers at Basis ensure training and evaluation infrastructure is fast, reliable, and scalable. You will own the full stack from distributed training frameworks through cloud administration, making it possible for researchers to iterate quickly on complex models while managing computational resources efficiently. We are looking for engineers who combine deep understanding of ML systems with operational excellence. The ideal ML Systems Engineer has experience with distributed training at scale, understands the intricacies of debugging numerical instabi