Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это стажировка с понятной исследовательской задачей в крупной AI-компании и работой с передовыми мультимодальными моделями и RL-методами; частичная занятость и ограничение удалённой работы Сингапуром могут сузить доступность.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Algorithm Research Intern (Agentic Vision) (multimodal foundation models): Researching and developing Agentic Vision capabilities for Hunyuan multimodal foundation models with an accent on visual reasoning, spatial intelligence, post-training, and interactive tool use. Focus on building verifiable data synthesis pipelines, reinforcement-learning methods, interactive sandboxes, and evaluation loops for complex visual reasoning.
Location: Singapore-CapitaSky, Singapore; remote
Company
hirify.global’s Technology Engineering Group supports technology and operational platforms, infrastructure R&D, networking, devices, data centers, and business innovation across Asia.
What you will do
Research and develop Agentic Vision for Hunyuan multimodal foundation models, focusing on visual reasoning post-training.
Integrate visual perception, planning, tool and code execution, environment feedback, and self-correction for interactive visual reasoning with images and video.
Advance fine-grained perception, diagram reasoning, 3D spatial understanding, visual logic, and embodied spatial planning.
Develop post-training methods including cold-start SFT, PPO/GRPO, OPD, verifiers, and reward models.
Build verifiable data synthesis pipelines, interactive code and visual-tool sandboxes, evaluation methods, and continuous data and model improvement loops.
Requirements
Master’s degree or higher in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Mathematical Statistics, or a related field.
Strong foundations in deep learning and algorithm implementation, proficiency in PyTorch, and experience with distributed training.
Research or industry experience in multimodal foundation models, visual reasoning, multimodal agents, or reinforcement learning for post-training.
In-depth practical experience in one or more of SFT, PPO/GRPO, OPD, RLVR, or reward modeling.
Strong system-level design and end-to-end execution skills across data, tool environments, reward mechanisms, training strategies, and evaluation protocols.
Interest in multimodal reasoning, Agentic Vision, and spatial intelligence, with the ability to follow frontier research, make independent technical judgments, and validate ideas through experiments.
Nice to have
Experience with verl, OpenRLHF, Megatron, or related frameworks.
Culture & Benefits
Part-time employment.
Remote workplace arrangement associated with Singapore-CapitaSky, Singapore.
Equal employment opportunity and an inclusive environment supporting diverse voices and individual and shared goals.
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