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Software Engineer, AI Platform (All Industry Levels)
Software Engineer, AI Platform (All Industry Levels)
As a Software Engineer on the AI Platform team at Character.AI, you will focus on building tooling and datasets for training AI models, developing data pipelines to improve AI models with human feedback, and supporting the core data infrastructure. This role involves a blend of software engineering and data for AI domains, requiring strong experience in data engineering and cloud environments.
About the role
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 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).
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.