About Appier

Appier is a software-as-a-service (SaaS) 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 specializing in Generative AI, you will contribute to advancing the frontiers of language and vision intelligence through research in Large Language Models (LLMs),  Vision-Language Models (VLMs), and Reinforcement Learning (RL) for real-world applications. You will also contribute to Appier’s core AI capabilities and drive publications in top AI/ML conferences. This role offers the opportunity to work on high-impact research and collaborate with a cross-functional team of scientists and engineers in a dynamic, innovation-driven environment.

Responsibilities

• Design and implement novel algorithms and architectures for LLMs, VLMs, and RL with both research and product impact.
• Conduct experiments to improve the performance, efficiency, and scalability of generative models across language and vision tasks. 
• Analyze experimental results, contribute to internal knowledge, and optionally publish key findings in leading AI/ML conferences.
• Collaborate with cross-functional teams to integrate models into real-world applications. 
• Continuously review recent publications and preprints in the field, and evaluate their relevance to Appier’s product roadmap.
• Drive innovation within the team by proposing and exploring new research directions and ideas.
  
  

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, or related technical areas.
• Solid understanding of modern AI models and algorithms, with expertise in at least one of the following: LLMs, computer vision (CV), multimodal models (VLMs), or RL.
• Candidates should have experience utilizing LLMs for research or product prototyping. Familiarity with AI-assisted coding tools (e.g., Vibe coding) is a plus.
• Proficient coding skills in Python and hands-on experience with machine learning frameworks like PyTorch. Able to build and optimize models effectively.
• Strong ability to analyze model behavior, diagnose bottlenecks, and improve training pipelines.
• Clear communication skills and a team-first attitude. Able to explain technical ideas to both technical and non-technical teammates, and enjoy working in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience in academic research, with publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
• Proven ability to work well in teams and drive research projects from idea to implementation.
• Contributions to open-source projects or involvement in research communities.
• Passion for pushing the frontier of generative AI and bridging research with impactful real-world applications.

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