Member of Technical Staff, ML Engineer

You'll build the machine learning systems that power our evaluation platform and next-generation data engine. You'll train human preference models, build large-scale data pipelines, and develop the infrastructure that transforms millions of human interactions into reliable signals for evaluating and improving frontier AI models.

In this role, you also have an opportunity to be forward-deployed should it interest you, and work directly with the researchers at frontier labs to creatively scale new model capability strategies for improvement.

• Train and improve preference, reward, and ranking models from millions of human interactions
• Develop infrastructure for large-scale experimentation, model training, and specialize in online evaluation techniques
• Design systems that transform human preference data into reliable signals for downstream model evaluation and training