Software Engineer, AI Platform (All Industry Levels)
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: Support the research team by building the tooling and datasets that h
What this role actually needs.
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: Support the research team by building the tooling and datasets that h Responsibilities: - Support the research team by building the tooling and datasets that help us train the best models - 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. - Support our data infrastructure (Spark, Beam, GCP). - 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. 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 Company context: Character.AI builds personalized conversational AI agents and the infrastructure that powers them at scale.
Day-to-day expectations
Character.AI lists these responsibilities for the Software Engineer, AI Platform (All Industry Levels) role.
- Support the research team by building the tooling and datasets that help us train the best models
- 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.
- Support our data infrastructure (Spark, Beam, GCP).
- 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.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
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$200K - $300K is visible before the click, so candidates can compare the role against local market expectations before applying.
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
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Hybrid roles in Redwood City should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: 2673e467-097e-43c0-ba0d-83e54b3a9cb1 · Confidence: 92/100 · Last checked: May 7, 2026
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