Research Scientist at Scaled Cognition (Mountain View, CA)
Scaled Cognition· Mountain View, CA·
Role details
Summary
Develop and implement novel, next-generation neural architectures for agentic AI models. Collaborate with machine learning and product engineers to align research with strategic product needs and advance the science of safe, policy-aligned automation.
Job description
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.
Why work at Scaled Cognition
- Mission‑driven culture: Building “Super‑Reliable Intelligence” that enterprises can trust – a defining challenge in the current AI era.
- Scientific rigor + startup velocity: Described as “no bureaucracy, no ego – just hard problems and the people solving them”; a bias for action and iterative shipping.
- Top‑tier team: Colleagues from leading AI labs (Microsoft, Google, Amazon, Meta) and universities; deep research culture integrated with product engineering.
- Flexible work: Roles based in Los Angeles and Mountain View; likely hybrid/on‑site given location requirements on careers page.
- Growth opportunity: Rapidly scaling company (61% employee growth YoY) with open roles across multiple functions, offering impact on foundational AI for enterprise.
- Perks: Not detailed, but emphasis on ownership of your work, direct impact on the product, and the chance to shape the future of enterprise AI.