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2 дня назад

AI Infrastructure Engineer Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Israel
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
AI Infrastructure Engineer Intern (AI) (Python/SQL): Building clean, structured, and model-ready datasets for AI research in semiconductor chip design with an accent on data preprocessing, file-format parsing, and automated extraction pipelines. Focus on transforming messy large-scale datasets, navigating complex codebases, and documenting dataset versions and transformation logic.

Location: Petah-Tikva, Israel; onsite

Company

hirify.global develops semiconductor solutions for enterprise, cloud, AI, and carrier data infrastructure.

What you will do

  • Collect, clean, normalize, and sanitize large-scale chip design datasets from diverse sources.
  • Build and maintain scripts and pipelines for automated data extraction and transformation.
  • Parse JSON, CSV, Parquet, logs, and domain-specific EDA file formats.
  • Navigate codebases and directory structures to locate and extract relevant data.
  • Use SQL and Python-based tools to prepare model-ready datasets in collaboration with researchers and engineers.
  • Document data sources, transformation logic, and dataset versions in shared repositories.

Requirements

  • Advanced BSc student in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related field.
  • Hands-on Python experience with pandas and NumPy.
  • Solid SQL skills and experience with structured and semi-structured data.
  • Practical experience cleaning, normalizing, and sanitizing real-world data.
  • Ability to navigate codebases and filesystems, parse multiple file formats, and automate repetitive tasks.
  • Git fluency, including reading commit history, reviewing diffs, and working with versioned repositories.

Nice to have

  • Exposure to Airflow, dbt, Spark, or other data pipeline tools.
  • Basic familiarity with machine learning concepts, feature quality, and train/test leakage.
  • Curiosity about reverse-engineering undocumented data and uncovering relationships across datasets.

Culture & Benefits

  • Eligibility for bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
  • Collaborative, transparent, and inclusive work environment.
  • Resources and support for professional growth and development.
  • Employment may require eligibility to access technology covered by U.S. export control regulations.

Hiring process

  • Interviews assess individual experience, problem-solving, and communication skills in real time.
  • AI tools, transcription apps, automated answer generators, and note-taking bots are not permitted during interviews.
  • Export license review may be required for applicants who are not U.S. citizens, lawful permanent residents, or protected individuals.

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