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4 дня назад

Research Scientist (Generative & Agentic AI)

Тип работы
fulltime
Английский
b2
Страна
Japan
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
Research Scientist (Generative & Agentic AI) (LLMs/VLMs): Building generative and agentic AI systems that reason, plan, use tools, and solve real-world problems with an accent on foundation models, multimodal intelligence, post-training, and autonomous agents. Focus on designing evaluations, improving training and inference efficiency, and translating frontier research into production applications.

Location: Based in Tokyo, Japan. Visa sponsorship is provided for international candidates transitioning to Japan.

Company

hirify.global is an AI-native Agentic AI as a Service company that develops intelligent software for business decision-making and AI-driven ROI.

What you will do

  • Research and build agentic AI systems covering reasoning, planning, tool use, memory, and multi-agent collaboration.
  • Advance post-training methods including SFT, RLHF, reinforcement learning with verifiable rewards, and preference optimization.
  • Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute.
  • Design evaluations and benchmarks for models and agents in real-world scenarios.
  • Collaborate with scientists and engineers to move research into production applications.
  • Track frontier research, define new research directions, and publish findings at leading AI/ML conferences.

Requirements

  • Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with AI/ML research experience.
  • Deep understanding of foundation models and expertise in at least one of LLMs, VLMs/multimodal models, reinforcement learning, or agentic systems.
  • Hands-on experience with LLM fine-tuning, RAG, agent frameworks, tool use, function calling, or product prototyping.
  • Proficiency in Python and PyTorch, including building, training, and optimizing models.
  • Ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines.
  • Strong communication skills and a collaborative, team-first approach.

Nice to have

  • Publications at leading AI/ML conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, or EMNLP.
  • Experience with large-scale distributed training or LLM post-training pipelines.
  • Open-source contributions to agent frameworks, models, or benchmarks.
  • Experience bridging generative and agentic AI research with real-world applications.

Culture & Benefits

  • Work on frontier generative AI and agentic AI research with cross-functional scientists and engineers.
  • Opportunity to publish research at top AI/ML venues and contribute to core AI capabilities.
  • Visa sponsorship for international candidates through the Japan office.
  • Fast-paced, collaborative environment focused on turning research into product impact.

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