Research Scientist (Generative & Agentic AI) - Tokyo,Japan.
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Before you apply
LocationTokyo, Japan, Tokyo, Japan
Work modeon-site
Typefull-time
DepartmentScientist
Company size1,001–5,000 people
PostedAug 13, 2026 · 2mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Aug 13, 202675% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML
Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic systems
Hands-on experience building with LLMs: fine-tuning, RAG, agent frameworks (e.g., tool use, function calling), or product prototyping
Proficient in Python and PyTorch; able to build, train, and optimize models effectively
Strong ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines
Clear communication skills and a team-first attitude in a fast-paced, collaborative environment
Fluency with AI-assisted coding workflows is a plus
Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP)
Experience with large-scale distributed training or LLM post-training pipelines
Contributions to open-source projects (e.g., agent frameworks, model or benchmark releases)
Passion for pushing the frontier of generative and agentic AI and bridging research with impactful real-world applications
Open to overseas candidates/Visa Support - based in Tokyo, Japan
Skills
Python
PyTorch
About Appier
Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.
About the Role
As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing Large Language Models (LLMs), Vision-Language Models (VLMs), and AI agents that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier’s core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact.
Responsibilities
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Research and build agentic AI systems: reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs.
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Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability.
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Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute.
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Design rigorous evaluations and benchmarks for models and agents in real-world scenarios.
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Collaborate with cross-functional teams to ship research into production applications.
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Track frontier research, propose new directions, and publish key findings at leading AI/ML venues.
About You
Minimum Qualifications
•
Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML.
•
Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic systems.
•
Hands-on experience building with LLMs: fine-tuning, RAG, agent frameworks (e.g., tool use, function calling), or product prototyping. Fluency with AI-assisted coding workflows is a plus.
•
Proficient in Python and PyTorch; able to build, train, and optimize models effectively.
•
Strong ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines.
•
Clear communication skills and a team-first attitude in a fast-paced, collaborative environment.
Preferred Qualifications
•
Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP).
•
Experience with large-scale distributed training or LLM post-training pipelines.
•
Contributions to open-source projects (e.g., agent frameworks, model or benchmark releases).
•
Passion for pushing the frontier of generative and agentic AI and bridging research with impactful real-world applications.
Open to overseas candidates/Visa SupportThis position is based in Tokyo, Japan. For international candidates, Appier’s Japan office provides visa sponsorship to ensure a smooth transition to Japan.