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Software Engineer, Machine Learning Infrastructure

Menlo Park, CA, United States

About us

Character's mission is to empower everyone with AGI. Our vision is to enable people with our technology so that they can use Character.AI any moment of any day.

Character.AI is one of the world's leading personal AI platforms. Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character.AI is a full-stack AI company with a globally scaled direct-to-consumer platform. As of 2023 that platform was #2 in the space in user engagement. Character.AI is uniquely centered around people, letting users personalize their experience by interacting with AI "Characters." The company achieved unicorn status in 2023 and was named Google Play's AI App of the Year.

Noam co-invented the key tech powering LLMs and was recently named to TIME100's Most Influential People in AI list. TIME called him "one of the most important and impactful people of the space's past, present, and future." Daniel created and led LaMDA, the breakthrough conversational tech project currently powering Bard.

To learn more, please visit beta.character.ai.

About the role

We're looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.

Responsibilities :

Provide infrastructure support to our ML research environment

Building tooling to diagnose cluster issues and hardware failures

Monitor deployments, manage experiments and generally support our research

Requirements:

4+ years' experience supporting the infrastructure within a ML environment

Experience in support of Large Language Models is highly desired

Experience developing tools used to diagnose ML infrastructure problems and failures is also required

Experience with large GPU clusters and high-performance computing/networking

Experience with cloud platforms (e.g., Compute Engine, Kubernetes) is also required

Character is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. We value diversity and encourage applicants from a range of backgrounds to apply.

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