Machine Learning Infrastructure Engineer

## 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 ## Benefits 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.