Contribute to building scalable backend systems and participate in service operation activities to ensure reliable and high-performing distributed services.
About this role
This Research Scientist role sits within Appier’s Scientist department and focuses on advancing generative and agentic AI for real-world applications. The work covers Large Language Models, Vision-Language Models, and AI agents that reason, plan, use tools, retain memory, and collaborate across multiple agents.
The researcher will develop post-training methods such as SFT, RLHF, RL with verifiable rewards, and preference optimization; improve foundation-model training, inference, and test-time performance; and design evaluations and benchmarks. The role also involves building LLM systems through fine-tuning, retrieval-augmented generation, agent frameworks, and function calling, then collaborating with engineers to move research into production. Minimum qualifications include a master’s degree or Ph.D. in computer science, electrical engineering, mathematics, or a related field, research experience in AI/ML, expertise in at least one relevant AI area, and proficiency in Python and PyTorch.
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