Software Engineer, Applied ML (Discovery, Recommendation & Search)

About this role

Build and optimize ML infrastructure for Character.AI's discovery, recommendation, and search systems. You'll design end-to-end ML pipelines, implement serving infrastructure, and collaborate with product and data teams to power AI-generated content features on a rapidly growing consumer platform.

What you'll do

• Design and implement applied ML models and infrastructure for recommendation, ranking, and search systems
• Build ML backend systems powering discovery surfaces and AI-generated content formats
• Develop data pipelines, model training, and serving infrastructure
• Optimize model performance and infrastructure efficiency
• Collaborate cross-functionally with product, data science, and data platform teams
• Support and optimize existing ML systems

What they're looking for

• ML frameworks (PyTorch, TensorFlow)
• RESTful and gRPC web services
• Cloud infrastructure (GCP, AWS, or Azure)
• Modern typed programming languages
• CI/CD pipelines and automated testing
• Production ML systems and optimization
• Vector databases and feature storage
• End-to-end ML pipeline development