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2 дня назад

Machine Learning Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
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
Machine Learning Intern (AI): Developing and evaluating foundation models for software-defined vehicle technologies with an accent on model training, fine-tuning, data quality, and inference efficiency. Focus on running controlled experiments, analyzing model performance and failure cases, and building reusable evaluation tools.

Location: Sunnyvale, United States

Company

hirify.global is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies and autonomous transportation systems.

What you will do

  • Reproduce baseline results and understand models, datasets, and evaluation workflows.
  • Implement and evaluate improvements in fine-tuning, data quality, and inference efficiency.
  • Run controlled experiments and analyze model performance, computational cost, and failure cases.
  • Contribute reusable code, evaluation tools, and technical documentation.
  • Present findings and recommendations to the team.

Requirements

  • Strong Python programming skills and familiarity with PyTorch or a similar framework.
  • Understanding of machine learning fundamentals, deep learning, and transformer architectures.
  • Experience with an ML project through coursework, research, or personal work.
  • Ability to debug problems, interpret experimental results, and communicate clearly.
  • Curiosity, initiative, and willingness to learn.

Nice to have

  • Experience working with pretrained models and tools such as Hugging Face Transformers.
  • Experience fine-tuning models, preparing datasets, or building evaluation pipelines.
  • Experience using GPUs, Linux, Git, and experiment tracking tools.

Culture & Benefits

  • Work alongside machine learning engineers.
  • Own a focused project with clear deliverables.
  • Contribute to safety-first, user-centric mobility AI and software-defined vehicle technologies.
  • Applications should follow the stated resume privacy and PDF submission requirements.

Hiring process

  • Application review, coding test, first interview, second interview, offer negotiation, and hiring.
  • Screening procedures and schedules may vary by position and circumstances.
  • Screening schedules and results are communicated individually by email.

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