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

Character AI Character AI · AI Frontier · Redwood City, CA · Technical Staff - Engineering

Software/ML Engineer to build and optimize applied ML models and infrastructure for Character.AI's consumer-facing discovery surfaces (recommendation, ranking, search), including data pipelines, model training, and serving. Focus on shipping intelligent features end-to-end.

What you'd actually do

  1. identify, design and implement the applied ML models and infra, ranging from the model optimization, data pipeline to model training and serving infrastructure
  2. work on implementation of our ML backend systems to power the discovery surfaces including recommendation, ranking and search
  3. support new AI generated content formats on our product
  4. support optimizing our existing systems

Skills

Required

  • B.A.S. in Computer Science or equivalent experience
  • 5+ years of industry experience
  • 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

Nice to have

  • Experience with shipping intelligent features, end-to-end, and from idea to production
  • Experience with understanding, designing or implementing a full pipeline from data ingestion to model training.
  • Experience with production AI/ML systems and services including optimizing GPU/TPU deployments
  • Experience working with vector databases or other feature storage

What the JD emphasized

  • 5+ years of industry experience
  • Experience with shipping intelligent features, end-to-end, and from idea to production
  • Experience with understanding, designing or implementing a full pipeline from data ingestion to model training.
  • Experience with production AI/ML systems and services including optimizing GPU/TPU deployments

Other signals

  • consumer AI application
  • applied ML models and infra
  • recommendation, ranking and search
  • AI generated content formats