Character.AI is looking to solve the problem of building and optimizing applied ML models and infrastructure for one of the fastest-growing native AI consumer applications, focusing on discovery surfaces such as recommendation, ranking, and search, while supporting new AI-generated content formats.
Requirements
- Experience building/consuming RESTful and gRPC based web-services
- Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)
- Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow
- Experience writing highly performant service in a modern typed language
- Experience configuring and maintaining CI/CD pipelines and automated testing
- Experience with production AI/ML systems and services including optimizing GPU/TPU deployments
- Experience working with vector databases or other feature storage
Responsibilities
- Work cross functionally with product, data science and data platform to identify, design and implement applied ML models and infra
- Implement ML backend systems to power discovery surfaces including recommendation, ranking and search
- Support new AI generated content formats on the product
- Optimize existing systems with the team
- Build and manage infrastructure in a cloud environment (GCP, AWS or Azure)
- Configure and maintain CI/CD pipelines and automated testing
- Build/consume RESTful and gRPC based web-services
Other
- B.A.S. in Computer Science or equivalent experience
- 5+ years of industry experience
- You will be a good fit if you are proactive and have a 'get things done' mindset
- Experience with shipping intelligent features, end-to-end, and from idea to production (Desired)
- Experience with understanding, designing or implementing a full pipeline from data ingestion to model training (Desired)
