character.aiRedwood City, CADevelops evaluation methods, alignment techniques, and adversarial testing for large language models to ensure safety and alignment with human values. Requires PhD in ML/CS, production code skills, GPU experience, and transformers/RL expertise.
Conducts ML research to advance LLMs and audio models for real-time voice AI agents, focusing on reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Leads R&D on small language models and AI training, developing efficient architectures, optimizing performance, and ensuring safety. Collaborates with research, engineering, and product teams using Python, PyTorch, TensorFlow, or JAX.
Develop and apply post-training methods and interpretability techniques to improve safety and understanding of frontier AI systems. Requires 3+ years of ML experience, expertise in RL techniques like RLHF and DPO, and published research in generative AI.
Conducts research on post-training methodologies and performant inference for AI models, balancing pure research with applied work for production systems. Requires PhD in ML with top publications and ability to design rigorous experiments at scale.
Conducts machine learning research in medical NLP for conversation summarization, evidence extraction, and outcome prediction. Publishes at top AI conferences, deploys models to production, and requires MS/PhD plus strong PyTorch/TensorFlow experience.