The opportunity
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…
What you'll do
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 challenges, provide growth opportunities, and attract top talent.
Stay deeply connected to the research community, understanding major trends, and helping set them.
What they're looking for
- Thrive in a high-energy, fast-paced startup environment and are ready to: dedicate the time and effort needed to drive impactful results.
- + years of hands-on research experience (PhD or equivalent preferred) in: machine learning, deep learning, generative models, agent/rl systems or related domains.
- A strong track record of research excellence, including publications in: top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
- Experience and track of recording in landing major research impacts in a fast-paced environment
