Character AI

Research Engineer focused on multimodal AI, specifically video and image generation models. The role involves training, fine-tuning, and deploying these models, including joint audio-visual generation and image-to-video. It also includes designing new architectures, optimizing models for inference, and building large-scale data pipelines. The company is a consumer-facing AI platform.

Research Engineer focused on AI safety and alignment for large language models. Responsibilities include developing evaluation methodologies, researching alignment techniques, conducting adversarial testing, mitigating harmful behaviors using RLHF and fine-tuning, and translating research into scalable solutions. Requires a PhD or equivalent, strong coding skills, GPU experience, and understanding of transformers and reinforcement learning with a focus on safety implications.

Research Engineer on the ML Systems team at Character.AI, focusing on optimizing ML training and inference systems, GPU cluster performance, fine-tuning AI models, and serving LLMs at scale. The role involves improving training performance and inference runtime, shaping conversational experiences, and developing systems for multimodal models and distributed RLHF.

Research Engineer on the Post-Training team responsible for fine-tuning AI models, optimizing performance, and ensuring quality and efficiency. Works on alignment algorithms, data pipelines, quality signals, and sampling algorithms for large generative models to shape conversational experiences.