Research Engineer - Vision & Vision-Language Models (AI)
Контакты
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
aipythonmachine learningpytorchcomputer visionreinforcement learningmultimodal modelsvision language modelsgpu clusters
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль охватывает весь цикл разработки передовых vision- и мультимодальных моделей, но без указанной зарплаты и с обязательной работой в офисе в Сан-Франциско оценить условия целиком сложнее.
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Зарплата не указанаПередовые технологииАктуальная областьРабота от начала до концаТолько офис
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer - Vision & Vision-Language Models (AI): Building next-generation models for image understanding, computer use, and agentic visual tasks across data generation, pretraining, post-training, reinforcement learning, and evaluation with an accent on large-scale multimodal training and end-to-end model development. Focus on designing rigorous ablations, optimizing distributed training and data-processing pipelines, and developing visual agents for complex multi-turn interactions.
Location: On-site in San Francisco, United States
Company
hirify.global's Vision Team develops AI models for image understanding, computer use, and agentic visual tasks.
What you will do
Develop vision-language models across pretraining, post-training, reinforcement learning, and evaluation.
Run large-scale vision and multimodal training experiments.
Source, generate, curate, process, and evaluate vision and multimodal datasets, including synthetic data.
Develop computer-use agents, visual agents, and other multi-turn agentic vision systems.
Design architecture, data, and training-methodology ablations and improvements.
Optimize model-training and data-processing stacks for large-scale execution.
Requirements
Strong machine learning intuition, research judgment, and the ability to take ambiguous problems from conception through experimentation and execution.
Strong implementation and prototyping skills, with the ability to turn ideas into experiments quickly.
Experience with large-scale model pretraining, post-training, reinforcement learning, or related methodologies.
Experience with vision, vision-language, video, multimodal models or datasets, and image-processing pipelines.
Experience training models on large-scale, multi-node GPU clusters and working with highly parallel data-processing pipelines.
Proficiency with PyTorch and Python, strong experimental methodology, and the ability to work effectively in large pre-existing codebases.
Nice to have
Experience with computer-use agents, visual agents, GUI understanding, or multi-turn multimodal tasks.
Frontend, web framework, UI/UX, or mobile development experience.
Published machine learning research in respected venues.
Postgraduate study in computer science, engineering, mathematics, physics, or machine learning.
Culture & Benefits
Methodical research and engineering approaches to ambitious goals.
Opportunity to contribute across the entire model development lifecycle.
Fast-paced, collaborative, high-energy in-person environment in San Francisco.
Medical, dental, vision, and FSA plans, plus a 401(k) plan.
Relocation and immigration support on a case-by-case basis.
Unlimited PTO, company holidays, in-office meals, and snacks.
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