Software Engineer - Applied ML

Platform

The platform team at Character bridges ML Engineering and Data Engineering to accomplish the following:

• Build best‑in‑class ML systems for our product using language models and traditional methods.
• Provide high quality data for analytics and model training.
• Remove the accidental complexity of Data Engineering tasks to empower ML Researchers, SWEs, and Data Scientists to move as quickly and confidently as possible.
• Make data go vroom while gpus go brrr!

• Design, implement, and iterate on Applied ML systems like search, recommendations, and RAG in collaboration with our Research and Backend teams.
• Own family of classifiers for async user-understanding.
• Interface with our Growth and Data Science teams to understand what levers we have to improve engagement and user experience.

• Expertise building ML systems from scratch.
• Experience leading teams of MLEs and Backend engineers on machine learning projects.
• Solid understanding of Spark and ability to write, debug and optimize Spark code. Apache Spark on K8s a plus.
• Experience building production systems in languages like Go, Python, SQL, Java, Scala.
• Experience designing and executing A/B tests.
• 2+ years experience with Kubernetes.

Join our visionary team, on-site 3-5 days a week, at the forefront of next‑generation AGI.