Machine Learning Infrastructure Engineer
Company websitecharacter.ai (Character, opens in new tab)
Base salary $150K to $350K
Employer-published annual base salary, USD. Advertised base range in Redwood City, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationRedwood City, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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.
Source: Character on Ashby · View original posting (opens in new tab)
This listingMachine Learning Infrastructure Engineer$150K to $350K
Software Engineer, Monetization$150K to $300K
Software Engineer, Backend/Applied ML (Safety & Integrity)$150K to $300K
Software Engineer, Core Product$150K to $300K
Software Engineer, Backend$180K to $300K
Software Engineer, Applied ML (Discovery, Recommendation & Search)$200K to $300K
Technical Program Manager, Product Experience$200K to $300K
Chart as a table
| Role | Published base |
|---|---|
| Machine Learning Infrastructure Engineer (this listing) | $150K - $350K |
| Software Engineer, Monetization | $150K - $300K |
| Software Engineer, Backend/Applied ML (Safety & Integrity) | $150K - $300K |
| Software Engineer, Core Product | $150K - $300K |
| Software Engineer, Backend | $180K - $300K |
| Software Engineer, Applied ML (Discovery, Recommendation & Search) | $200K - $300K |
| Technical Program Manager, Product Experience | $200K - $300K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2025-04-24
Where this pay comes from
Location as the employer wrote it: Redwood City, CA
USD 150,000 – 350,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.