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Job Description
Scale is seeking an Applied AI Engineer to join their Autonomous Agents team. This role is pivotal in bridging the gap between agent applications, LLM capabilities, and the data required to advance them. The Applied AI Engineer will work on rapidly developing innovative agentic applications, tools, and data pipelines. They will specialize in autonomous agents, bridging deep generative AI and ML expertise with practical AI application development to create foundational agentic frameworks and tooling that supports Scale's agent data programs and evaluations.

The role involves:
  • Designing agent data programs to improve model performance.
  • Building new agent data types and pipelines.
  • Meeting with customers to understand their modeling requirements.
  • Developing agentic frameworks, tools, and verifiers to evaluate model capabilities.
  • Implementing open source agent libraries and benchmarks on proprietary datasets and models.
  • Building agent applications to automate key aspects of data pipelines and evaluations.

Requirements:
  • Master's degree or equivalent experience in Computer Science, Machine Learning, AI, or a related field.
  • Strong background in deep learning, LLM, and data-centric AI methodologies.
  • 2-3 years of practical experience building AI applications for real-world use cases.
  • Previous experience in a customer-facing role.
  • Proficiency in Python.

Scale 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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