обновлено 26 дней назад
Research Scientist (Generative & Agentic AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist (Generative & Agentic AI) (LLMs/VLMs): Advancing foundation models and autonomous AI agents that reason, plan, use tools, and solve real-world problems with an accent on post-training, multimodal intelligence, and model evaluation. Focus on building agentic systems, improving training and inference efficiency, designing rigorous benchmarks, and translating frontier research into production applications.
Location: Tokyo, Japan; this position is based in 's Japan office.
Company
is an AI-native Agentic AI as a Service company that develops intelligent software for business decision-making and operates across APAC, Europe, and the United States.
What you will do
- Research and build agentic AI systems with 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 AI agents in real-world scenarios.
- Collaborate with scientists and engineers to move research into production applications.
- Track frontier research, propose new directions, and publish findings at leading AI and machine learning conferences.
Requirements
- Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI and machine learning.
- Deep understanding of foundation models and expertise in at least one of LLMs, VLMs or multimodal models, reinforcement learning, or agentic systems.
- Hands-on experience building with LLMs through fine-tuning, RAG, agent frameworks, tool use, function calling, or product prototyping.
- Proficiency in Python and PyTorch, with the ability to build, train, and optimize models.
- Experience analyzing model behavior, diagnosing bottlenecks, and improving training and inference pipelines.
- International candidates are supported with visa sponsorship for employment in Japan.
Nice to have
- Publications at leading AI and machine learning conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, or EMNLP.
- Experience with large-scale distributed training or LLM post-training pipelines.
- Contributions to open-source agent frameworks, models, or benchmarks.
- Fluency with AI-assisted coding workflows.
Culture & Benefits
- Work in a fast-paced, collaborative environment with cross-functional scientists and engineers.
- Bridge frontier AI research with real-world product impact.
- 's Japan office provides visa sponsorship for international candidates transitioning to Japan.
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