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.
Character’s mission is to give everyone on earth access to their own deeply personalized superintelligence that helps them live their best lives.
Achieving our mission will require solving ambitious technical challenges, including engineering, research, and design, and we are assembling a world-class team to do so. Our founding team includes AI pioneers from Google Brain and Meta Research whose research has led to major breakthroughs in natural language understanding and dialog applications such as Transformers and Google LaMDA.
Check out our beta to get a glimpse into the future.