Researcher, Alignment

About the Role

As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making.

This role is especially well suited for someone who can move from an ambiguous model-behavior question to a concrete experimental setup: formulate the hypothesis, build the evaluation or intervention, run the experiment, analyze the result, and decide what the evidence supports. This role may be based in San Francisco or London, subject to team needs and location approval.

In this role, you will

We are seeking research engineers and research scientists to help design and implement experiments for alignment research. Responsibilities may include:

• Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure.
• Design evaluations to reliably measure risks and alignment with human intent and values.
• Build tools and evaluations to study and test model robustness in different situations.
• Design experiments to understand laws for how alignment scales as a function of compute, data, lengths of context and action, as well as resources of adversaries.
• Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models.
• Train model to be calibrated on correctness and risk.
• Designing novel approaches for using AI in alignment research

You might thrive in this role if you

• Are a team player - willing to do a variety of tasks that move the team forward.
• Have a PhD or equivalent experience in research in computer science, computational science, data science, cognitive science, or similar fields.
• Have strong engineering skills, particularly in designing and optimizing large-scale machine learning systems(e.g., PyTorch).
• Have a deep understanding of the science behind alignment algorithms and techniques.
• Can develop data visualization or data collection interfaces (e.g., TypeScript, Python).
• Enjoy fast-paced, collaborative, and cutting-edge research environments.
• Want to focus on developing AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios.