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Job Description
Scale AI is seeking a Machine Learning Research Scientist/Engineer to focus on advancing AI agents. The role involves studying data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires expertise in LLM agents and planning algorithms, as well as creativity in addressing novel challenges related to data, interaction, and evaluation.

Role involves:
  • Contributing to impactful research publications on agents.
  • Collaborating with customer researchers.
  • Working alongside the engineering team to translate advancements into real-world, scalable solutions.

Requirements:
  • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.
  • Adept at interpreting research literature and quickly turning new ideas into prototypes.
  • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
  • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
  • Strong written and verbal communication skills and the ability to operate cross-functionally.

Scale AI offers:
  • Comprehensive health, dental and vision coverage.
  • Retirement benefits.
  • A learning and development stipend.
  • Generous PTO.
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Scale AI

Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.

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