Primary record

Senior Manager, Research Scientist

Scale AI Indexed employerSan Francisco, CA; New York, NY · San Francisco, California, United States
Source-hosted applyChecked 2h agoInternship
Apply at Scale AI

Scale AI receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications.

As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.

As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

You will:

• Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).

• Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.

• Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.

• Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.

• Drive an inclusive, high-performing culture: help your team through technical challenge

Requirements

Department: Research