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Venture Capital, Investment Management

AI Engineer Intern

Palo Alto, California, United StatesRemoteInternshipJunior / Entry-levelPosted 2 months ago

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Role summary

SAV is seeking an AI Automation Intern for a full-time, on-site role in Palo Alto, CA. The intern will focus on developing and optimizing automation processes, troubleshooting technical issues, and ensuring output quality. Key responsibilities include implementing automation, creating test cases, performing quality assurance, and suggesting efficiency improvements. This role requires strong analytical and problem-solving skills, a passion for new technologies, and a background in Computer Science or a related technical field. Familiarity with AI/ML concepts is a plus.

Company Description

SAV (Scale Asia Ventures) is a Palo Alto-based multi-stage venture fund focusing on Enterprise Software, Data-driven Life Sciences, and AI-powered Vertical Industries. Supported by institutional funds, prominent family offices, and major conglomerates, SAV operates across the U.S., South Korea, Japan, and Singapore. The firm offers its portfolio companies expertise in U.S. and Asia market entry and growth strategies. SAV’s global network of strategic corporate partners provides unparalleled backing to drive innovation and success.

Role Description

This is a full-time, on-site role for an AI Automation Intern based in Palo Alto, CA. The AI Automation Intern will be responsible for developing and optimizing automation processes, troubleshooting technical challenges, and ensuring the quality of automation outputs. The day-to-day tasks will include implementing process automation, creating test cases, conducting quality assurance checks, and recommending improvements to enhance efficiency and effectiveness. This role requires strong problem-solving abilities and attention to detail, as well as a passion for new technologies.

Qualifications

  • Experience with Process Automation and automation platforms
  • Proficiency in Troubleshooting and resolving technical issues
  • Ability to develop and execute Test Cases to ensure robust and error-free processes
  • Knowledge of Quality Assurance principles and testing methodologies
  • Strong analytical, problem-solving, and critical-thinking skills
  • A degree or active enrollment in Computer Science, Engineering, or a related technical field
  • Familiarity with AI and machine learning concepts is a plus
  • Excellent communication skills and ability to collaborate in a team environment
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