Staff Software Engineer - Applied ML

Key Skills

Data science techniques, Design, Google Dataflow, Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, Scala Programming, SPARK Programming, SQL, TensorFlow, XGBoost

Job Description

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!

Responsibilities:

• 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.

Qualifications:

• 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 AB tests.

• 2+ years experience with Kubernetes.

Keywords

Applied ML, Recommendations, Retrieval, Embeddings, Tensorflow, Pytorch, XGBoost, Spark, Dataflow, Apache Beam, ML Platform, Search, Recommendations, Feature Stores

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

About Character.AI

Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.

Noam co-invented core LLM tech and was recently honored as one of TIME's 100 Most Influential in AI. Daniel created LaMDA, the breakthrough conversational AI now powering Google's Bard.

In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.