Software Engineer, Machine Learning Infrastructure

Key Skills

GPUs, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques, Software Development

Job Description

About us

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.

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.