AI Alignment Research Engineer

OpenAI; California (MO); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Job summary

OpenAI is seeking a Research Engineer / Research Scientist on the Alignment team to ensure AI systems reliably follow human intent as capabilities scale, with an emphasis on robust alignment under adversarial and high-stakes scenarios. The role may be based in San Francisco or London, depending on team needs and location approvals.

Candidates should hold a PhD or equivalent in a relevant field and have strong engineering skills in large‑scale ML systems (e.g., PyTorch) and interface development

Qualifications

• PhD or equivalent in computer science, computational science, data science, cognitive science, or similar fields.
• Strong engineering skills, particularly in designing and optimizing large‑scale machine learning systems (e.g., PyTorch).
• Ability to develop data visualization or data collection interfaces (TypeScript, Python).

Responsibilities

• 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, context lengths, and adversary resources.
• Design and evaluate new Human‑AI‑interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models.
• Train models to be calibrated on correctness and risk.

Skills

Python

PyTorch

Machine learning

Education

PhD in computer science or equivalent

Tools

TypeScript

Job description

OpenAI is seeking a Research Engineer / Research Scientist on the Alignment team to ensure AI systems reliably follow human intent as capabilities scale, with an emphasis on robust alignment under adversarial and high-stakes scenarios. The role may be based in San Francisco or London, depending on team needs and location approvals.

Candidates should hold a PhD or equivalent in a relevant field and have strong engineering skills in large‑scale ML systems (e.g., PyTorch) and interface development