Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust.
As a Research Scientist at Scaled Cognition you will:
Develop and implement novel, next-generation neural architectures.
Work closely with machine learning and product engineers to direct research toward strategic product needs and align product development with novel model capabilities.
Stay up-to-date with the latest academic research and react quickly to new discoveries.
You might be the right person for the job if you:
Enjoy exploring opportunities for innovation and aligning them with strategic objectives.
Can rapidly prototype and evaluate new modeling techniques.
Excel in collaborative, cross-functional team settings.
Research and deploy trading algorithms by analyzing market data, developing statistical signals and tools, and improving simulations to support high- to mid-frequency trading and live execution.
Analyze English and Spanish language data to create and validate AI training annotations, explain grammar, design vocabulary tasks, and shape lesson outlines grounded in real-world usage.
Analyze HIV-related genomic and clinical datasets, build production bioinformatics pipelines, and advise research teams on computational methods, statistical analysis, and experimental design.
Design and validate rigorous, multi-step computational life sciences tasks that test whether AI agents can inspect scientific data, write and run code, troubleshoot workflows, and produce verifiable results.
Lidera a gestão do laboratório de estabilidade de produtos cosméticos, conduzindo estudos e avaliações de conservantes, aprimorando métodos e processos e apoiando investigações físico-químicas e microbiológicas.
