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6 дней назад

Data & AI Engineering Intern (Autonomous Driving)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore/US/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & AI Engineering Intern (Autonomous Driving): Building automated data pipelines and internal full-stack platforms for analyzing massive autonomous-vehicle fleet test data with an accent on scenario mining, data governance, and AI-assisted analysis. Focus on extracting edge cases from vehicle logs, developing ETL workflows and dashboards, and exploring LLM- and AI-agent-based automation.

Location: Singapore; on-site

Company

hirify.global develops autonomous logistics systems for safe-speed goods transportation, using deep learning, rigorous mathematics, and theoretically grounded autonomy algorithms.

What you will do

  • Analyze vehicle log data, including sensor feeds, speeds, and trajectories, to identify driving scenarios and edge cases.
  • Build and maintain automated ETL scripts to parse, clean, and organize large volumes of autonomous-vehicle test data.
  • Develop and maintain internal web dashboards for test metrics and scenario statistics.
  • Explore AI agents and bots for automated data analysis and scenario generalization under mentor guidance.
  • Support the data loop used to iterate and validate autonomous driving systems.

Requirements

  • Current BS, MS, or PhD student in Computer Science, Software Engineering, Robotics, or a related field.
  • Solid Python skills and comfort working in Linux or Ubuntu environments.
  • Basic knowledge of SQL and database concepts.
  • Basic backend web development experience with technologies such as FastAPI, Flask, or Django.
  • Basic frontend development or data visualization experience, familiarity with Git and Docker, and interest in LLMs or AI agents.
  • Ability to commit to a 4–6 month internship.

Culture & Benefits

  • Work in an international engineering environment with teams based in the U.S. and Asia.
  • Collaborate on autonomous systems deployed at industrial and logistics sites.
  • Access world-class benefits and flexible working arrangements within an on-site internship framework.

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