5-7 years of experience in web spam, search quality, or adversarial content detection at scale.
Proficient in applied machine learning with a focus on developing classifiers and detection methods.
Strong understanding of content manipulation tactics and adversarial strategies.
Proven ability to define and solve complex technical problems independently.
Experience collaborating across research, engineering, and integrity teams while maintaining hands-on technical involvement.
Familiarity with frontier models and a commitment to adapting detection systems to evolving threats.
Responsibilities
Define the technical direction for Search Integrity and prioritize key problems to address.
Develop AI and ML systems to identify spam, scams, and other low-quality web content.
Analyze signals from page content, links, and metadata to uncover manipulation patterns.
Create evaluations to assess detection quality and the impact of integrity interventions.
Translate detection signals into actionable indexing and ranking decisions.
Act as the technical owner for integrity within Search, collaborating with various teams to deploy systems.
Benefits
Opportunity to work at the forefront of AI and web integrity.
Collaborative environment with cross-functional teams.
Engagement in meaningful work that impacts user experience and safety.
Access to cutting-edge technology and resources.
Professional development opportunities in a rapidly evolving field.
Full Job Description
About the Role
We're looking for a Researcher to lead Search Integrity: the systems that distinguish useful web content from spam, manipulation, and other adversarial or low-quality material.
The challenge extends beyond evaluating individual pages. A page may appear credible in isolation, while its links, metadata, or relationships with other sites reveal coordinated manipulation. As AI makes convincing content easier to produce at scale, detection systems must adapt to increasingly sophisticated adversaries.
You'll define the technical approach, build classifiers and evaluations, and shape how integrity signals influence what Search indexes and retrieves. Working closely with Search and broader Safety and Integrity teams, you'll use frontier models to advance detection methods and bring them into production.
Responsibilities
Define the technical direction for Search Integrity, identifying gaps and determining which problems and interventions to prioritize.
Develop AI and ML systems to detect spam, scams, phishing, malicious domains, prompt injections, and other adversarial or low-quality web content.
Discover useful signals across page content, links, domains, metadata, and relationships between websites, including patterns that reveal coordinated manipulation.
Build evaluations that measure detection quality and how integrity interventions affect the information Search surfaces.
Translate detection signals into indexing, ranking, and filtering decisions, improving what models can retrieve and rely on.
Serve as the technical owner for integrity within Search, partnering with researchers, engineers, and broader Safety and Integrity teams to build and deploy these systems.
You Might Thrive in This Role If You Have
Deep experience in web spam, search quality, adversarial content detection, or related integrity problems at scale.
Strong applied ML and research skills, with experience developing classifiers, detection methods, and evaluations for real-world systems.
An understanding of how adversaries manipulate content and links, coordinate across sites, and adapt to detection systems.
A track record of independently defining ambiguous technical problems and driving solutions from experimentation through production.
Experience working across research, engineering, and integrity teams while remaining hands-on with technical work.
A first-principles approach to using frontier models and compute, and a strong interest in keeping detection systems effective as adversaries evolve.
About OpenAI
OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
