4 дня назад
Research Scientist (Generative & Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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