Software Engineer, Machine Learning Infrastructure
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The role
Design and build scalable, secure ML infrastructure services for notebooks, model training, experimentation, serving, and LLM applications across multiple regions.
Create libraries and services that help ML engineers move from experimentation to production within the organization's data and analytics platforms.
Collaborate with ML engineers, data scientists, and product engineers to improve day-to-day productivity.
Own technical and product challenges by working with a diverse set of systems, processes, and technologies.
Champion high availability and low latency in production-grade ML systems.
Contribute to the organization's AI/ML initiatives by delivering reliable, scalable infrastructure and tooling.
Create libraries and services that help ML engineers move from experimentation to production within the organization's data and analytics platforms.
Collaborate with ML engineers, data scientists, and product engineers to improve day-to-day productivity.
Own technical and product challenges by working with a diverse set of systems, processes, and technologies.
Champion high availability and low latency in production-grade ML systems.
Contribute to the organization's AI/ML initiatives by delivering reliable, scalable infrastructure and tooling.
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