Research Engineer Intern (Ethical Creative and Protective AI Lab)
Контакты
50$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
aipythonllmmachine learningprompt engineeringreinforcement learningapi integrationvlmresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Отличная вакансия
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Company hidden предлагает конкретную исследовательскую работу с мультимодальным ИИ и ответственным ИИ, а ставка выглядит сильной; при этом стажировка длится всего три месяца.
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Короткий срокПередовой ИИПонятные задачиВысокая ставкаСовременные технологииИсследования в Company hidden
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer Intern (Ethical Creative and Protective AI Lab) (Multimodal Generative AI): Contributing to post-training and evaluation infrastructure for multimodal AI systems with an accent on reinforcement learning fine-tuning, custom evaluation metrics, and responsible AI. Focus on assessing and mitigating generative AI risks, integrating LLM/VLM tooling, and producing research outcomes for conferences and journals.
Location: Remote within the United States, including New York, Connecticut, Michigan, Florida, Massachusetts, New Jersey, and Virginia.
Salary: $50.00 per hour; hourly pay with overtime eligibility.
Company
hirify.global Corporate Technology Center America is a remotely distributed hirify.global AI research organization working with hirify.global's entertainment business units to advance responsible artificial intelligence.
What you will do
Contribute to post-training and evaluation infrastructure for a novel multimodal AI system.
Fine-tune models using supervised learning and reinforcement learning-based approaches, including SFT, RLAIF, and RLVR.
Define and implement custom metrics for evaluating fine-tuning approaches.
Develop tools and frameworks to assess and mitigate risks in generative AI systems.
Contribute to research outcomes in top-tier conferences and journals.
Propose and implement innovative ideas while maintaining honesty, trustworthiness, and ethical conduct.
Requirements
Completed or currently pursuing a PhD in Computer Science, Machine Learning, or a related scientific discipline.
Experience with LLM/VLM tooling and frameworks, API integration, and prompt engineering.
Familiarity with and interest in responsible AI development.
Strong understanding of machine learning fundamentals.
Strong research, analytical, and problem-solving skills.
Excellent written and verbal communication skills in English.
Nice to have
Hands-on experience with reinforcement learning fine-tuning of LLMs and/or VLMs is strongly preferred.
Culture & Benefits
Three-month full-time internship.
Work with researchers and engineers in a globally diverse, remotely distributed organization.
Hands-on experience with responsible development of generative AI.
Hourly compensation with eligibility for overtime.
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