Machine Learning Infrastructure Engineer

Character.AI; San Francisco (CA); On-site; USD 130,000 - 207,000; Full time

Benefits offered by this job

Health insurance

Flexible working hours

Professional development opportunities

Job summary

Join a dynamic team as a Machine Learning Infrastructure Engineer at Character.AI, where you'll enhance infrastructure for machine learning endeavors. This role requires substantial experience and expertise in cloud platforms, GPU management, and diagnostic tooling. Contribute to pioneering AI technology in an award-winning company recognized for its innovative approach to interactive entertainment.

Qualifications

• 4+ years in ML infrastructure roles.
• Experience with diagnosing problems in ML environments.
• Familiar with GPU usage and high-performance computing.

Responsibilities

• Support infrastructure for ML research and product.
• Build tools for diagnosing cluster issues.
• Monitor deployments and manage experiments.

Skills

Cloud platforms

GPU management

Diagnostic tools

Education

Bachelor’s degree in Computer Science or related field

Tools

Kubernetes

Compute Engine

Cloud Storage

Job description

Machine Learning Infrastructure Engineer

Join to apply for the Machine Learning Infrastructure Engineer role at Character.AI

Machine Learning Infrastructure Engineer

Join to apply for the Machine Learning Infrastructure Engineer role at Character.AI

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About The Role

We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.

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 Character.AI

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 tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.

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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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