Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Стажировка предлагает чёткий ML-проект в компании, работающей с ИИ для транспорта, и практику с foundation-моделями и современным стеком; офисный формат в Саннивейле ограничивает доступность.
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Только офисСовременный ML-стекЧёткий проектИИ для транспорта
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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