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Generative AI Research Intern

15 hours, 27 minutes ago
Taiwan
Internship
Entry Level
AI Research Scientist
Data Science and Analytics
Generative AI LLM Python PyTorch Reinforcement Learning
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Appier

Appier

Appier Group, Inc. is a software-as-a-service company providing AI platforms that empower enterprises with data-driven decision-making. The company serves a variety of industries including e-commerce, retail, finance, insurance, gaming, and automotive.

Professional Services
251-1K
Founded 2012
$162M raised
View All Jobs 6

Description

  • Research and build agentic AI systems with reasoning, planning, tool use, memory, and multi-agent collaboration.
  • Advance post-training methods such as SFT, RLHF, RL with verifiable rewards, and preference optimization.
  • 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 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 foundation models, with expertise in at least one of LLMs, VLMs/multimodal models, RL, or agentic systems.
  • Hands-on experience with LLMs, including fine-tuning, RAG, agent frameworks, or product prototyping.
  • Proficiency in Python and PyTorch.
  • Ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines.
  • Strong communication skills and a team-first attitude in a fast-paced, collaborative environment.
  • Publications in top AI/ML conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, or EMNLP (preferred).
  • Experience with large-scale distributed training or LLM post-training pipelines (preferred).
  • Contributions to open-source projects such as agent frameworks, model releases, or benchmark releases (preferred).
  • Passion for advancing generative and agentic AI and connecting research to real-world applications (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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