Machine Learning Infrastructure Engineer
character
Redwood City, CA · Redwood City · Canada
Posted Apr 24, 2025
$150,000–$350,000 per year
- Full-time
- Remote
- Technical Staff - ML
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 **
[](http://Character.AI) empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit [](http://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 adventure*s.*
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.*