Backed by Lightspeed and a16z.
About the role
We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Provide infrastructure support to our ML research and product
What they're looking for
- 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
More about this role
We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.
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
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
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
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...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs · San Francisco Bay Area