Research Engineer, AI Safety & Alignment

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Наша компания

Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

О роли

Joining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safety and alignment. Your work will be pivotal in understanding and mitigating the risks of advanced AI, conducting foundational research to make our models safer, and solving the core technical problems of AI alignment—ensuring our models behave in accordance with human values and intentions The Safety team is dedicated to pioneering and implementing techniques that make our models more robust, honest, and harmless. As a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products. Your research will not only protect millions of users but also contribute to the broader scientific community's understanding of how to build safe, beneficial AI

Чем предстоит заниматься

Develop and implement novel evaluation methodologies and metrics to assess the safety and alignment of large language models

Research and develop cutting-edge techniques for model alignment, value learning, and interpretability

Conduct adversarial testing to proactively uncover potential vulnerabilities and failure modes in our models

Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning

Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best practices

Stay abreast of the latest advancements in AI safety research and contribute to the academic community through publications and presentations

Наши требования

Hold a PhD (or equivalent experience) in a relevant field such as Computer Science, Machine Learning, or a related discipline

Write clear and clean production-facing and training code

Experience working with GPUs (training, serving, debugging)

Experience with data pipelines and data infrastructure

Strong understanding of modern machine learning techniques, particularly transformers and reinforcement learning, with a focus on their safety implications

Are passionate about the responsible development of AI and dedicated to solving complex safety challenges

Experience with product experimentation and A/B testing

Experience training large models in a distributed setting

Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)

Experience with explainable AI (XAI) and interpretability techniques

Have research in AI safety, alignment, ethics, or a related area

Knowledge of the broader societal and ethical implications of AI, including policy and governance

Publications in relevant academic journals or conferences in the field of machine learning

Character.AI

Redwood City, CA

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Опубликовано3 окт.

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