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Senior Manager, Research Scientist

Scale AI· Research
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Hybrid (San Francisco, CA), Hybrid (New York, NY)$290.4k - $363kfull-timePosted 2mo ago

About the role

Scale AI seeks a Senior Manager, Research Scientist to lead a world-class team focused on GenAI research initiatives, define multi-year roadmaps, and drive end-to-end execution from prototyping to deployment in a fast-paced startup environment.

Responsibilities

  • 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.
  • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Qualifications

  • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/RL systems or related domains.
  • Strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
  • Experience and track record of landing major research impacts in a fast-paced environment.
  • Experience leading or managing research teams, mentoring, coaching and developing talent.
  • Excellent written and verbal communication skills, able to articulate research ideas and outcomes to both technical and non-technical stakeholders.

Skills

Required:Team leadership and mentorshipResearch roadmap planningGenAI, ML/DL, generative models, RL

Benefits

  • compensation packages include base salary, equity, and benefits; health, dental and vision coverage; retirement benefits; learning and development stipend; generous PTO; commuter stipend (eligible roles)
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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