Machine Learning Infrastructure Engineer
- Location
- Redwood City, CA (Remote) · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 4+ years
- Listed
- 22 days ago
Skills & highlights for this role
- Kubernetes
- GPU cluster management
- cloud platforms
- ML infrastructure tooling
Also useful
- PyTorch
- TensorFlow
- JAX
- GPU kernel development
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. 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!
Equal opportunity and legal notices
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.
From Character.AI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Machine Learning Infrastructure Engineer job at Character.AI located?
Yes, this Machine Learning Infrastructure Engineer opening at Character.AI is listed as Redwood City, CA (Remote) (On-site). Always check Character.AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Infrastructure Engineer at Character.AI?
For the Machine Learning Infrastructure Engineer role, Character.AI highlights 4+ years of relevant experience; experience with Kubernetes, GPU cluster management, cloud platforms, ML infrastructure tooling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Infrastructure Engineer position at Character.AI?
This listing links directly to Character.AI's Ashby application page. You can apply directly on Character.AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.