Machine Learning Infrastructure Engineer

Character.AI

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Redwood City, CA remote Until 8/22/2026 H-1B sponsor history First posted March 20, 2025 Last posted March 20, 2025
Job description

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 and product

  • Build tooling to diagnose cluster issues and hardware failures

  • Monitor deployments, manage experiments, and generally support our research

  • Maximize GPU allocation and utilization for both serving and training

Requirements:

  • 4+ years of experience supporting the infrastructure within an ML environment

  • Experience in developing tools used to diagnose ML infrastructure problems and failures

  • Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

  • Experience working with GPUs

Nice to have

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

  • Experience with supporting large language model training

  • Experience with ML frameworks like Pytorch/TensorFlow/JAX

  • Experience with GPU kernel development

About Character.AI

Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.


In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach.


Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI!

At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

Compensation (from employer):
Estimated Base Salary $150K – $350K • Offers Equity

About this role

Summary

Support ML infrastructure, develop tools, optimize GPU use, and monitor deployments.

Job title

Machine Learning Infrastructure Engineer

Experience level

4+ years

Industry

software

Location requirements

Redwood City, CA; on-site work required

Salary

Estimated Base Salary $150K – $350K • Offers Equity

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

ML infrastructurediagnose ML infrastructure problemscloud platformsGPUs

Preferred skills

large GPU clustershigh-performance computingML frameworksGPU kernel development

Specializations

ML infrastructureGPUcloud computinghigh-performance computingdeep learning
Locations

Structured locations inferred from the posting.

Redwood City, CA, USA

On-site City