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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 shape Appier's core AI capabilities, be published at top AI/ML conferences, and be turned into product impact.
Responsibilities
- Research and build agentic AI systems: reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs.
- Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability.
- Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute.
- Design rigorous evaluations and benchmarks for models and agents in real-world scenarios.
- Collaborate with cross-functional teams to ship research into production applications.
- Track frontier research, propose new directions, and publish key findings at leading AI/ML venues.
Requirements
- 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.
- 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.
Skills
- Generative AI
- Agentic AI
- Large Language Models (LLMs)
- Vision-Language Models (VLMs)
- AI agents
- Reasoning
- Planning
- Tool use
- Memory
- Multi-agent collaboration
- Post-training (SFT, RLHF/RLVR)
- Reasoning and test-time scaling
- Multimodal intelligence
- Autonomous agentic systems
- Python
- PyTorch
- AI-assisted coding workflows
Location
- Tokyo, Japan
Work Type
- Full-time
Experience Level
- Research Scientist
Education Level
- Master's degree or Ph.D.
Benefits
- Visa Support
About the Company
- 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).