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Character.AI

Software Engineer, AI Platform (All Industry Levels)

Sorry, this job was removed at 06:09 p.m. (PST) on Tuesday, Jun 09, 2026
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In-Office
Redwood City, CA, USA
In-Office
Redwood City, CA, USA

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About the Role

As a Software Engineer - AI Platform at Character, you'll have the opportunity to work on a diverse and exciting set of projects spanning both software engineering and data for AI domains. Your initial focus will be on three key areas:

  1. Support the research team by building the tooling and datasets that help us train the best models

  2. Activate our "data flywheel": Develop data pipelines and collaborate with ML researchers to ensure continuous improvement of our AI models and alignment with human feedback.

  3. Support our data infrastructure (Spark, Beam, GCP).

Requirements:

  • B.A.S. in Computer Science or equivalent experience.

  • 5+ years minimum experience in data engineering within a consumer-facing technology company

  • Experience building data warehousing and data pipelines with Big Query, dbt, Ray, Beam and Spark.

  • Experience with ML/LLMs

  • In-depth experience building and managing infrastructure in a cloud environment (esp. GCP)

  • Strong Python and SQL experience

Desired Experience:

  • Experience setting up containerization with Docker and Kubernetes

  • Familiarity with PyTorch

  • Excellent problem-solving skills and the ability to work independently and as part of a team

  • Strong communication and collaboration skills

  • Experience writing and maintaining Golang and Terraform code

You will be a good fit if you are proactive and have a “get things done” mindset. Given our current pace of growth and load on our systems, most people have had a significant impact during their first week at the company.

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.

Character.AI Menlo Park, California, USA Office

700 El Camino Real, Menlo Park, California, United States, 94025

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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