Backed by Greylock, Insight and Khosla.
About the role
We’re looking for a Researcher to lead our safety and alignment research: building the systems that distinguish useful web content from spam, manipulation, and other adversarial or low-quality material. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. We push the boundaries of data, scaling laws, optimization techniques, model architectures, model + search co-design and efficiency improvements to propel our science.
The Search team sits within Foundations, building agentic search by co-designing model-system interfaces with the core search stack: serving, indexing, and retrieval. We research and develop large-scale systems that transform and index vast corpora, enabling models to most effectively find and reason over information. In close partnership with researchers, we bring modeling advances into production and improve how AI systems discover, retrieve, and use knowledge.
We’re looking for a Researcher to lead our safety and alignment research: building 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...
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