over 3 years ago
Taipei, TaiwanIntern
Responsibilities
- Work on ML or LLM topics including user prediction, recommendation, agents, and chatbots.
- Collaborate with senior ML scientists to define problems, develop algorithms, evaluate and monitor models, and continuously optimize solutions.
- Stay current with ML research and propose innovative applications.
- Use systematic and quantitative analysis to evaluate models.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field; a master’s degree is preferred.
- At least 2 years of experience in machine learning or LLMs.
- Proficiency in Python.
- Proficiency in core ML and deep learning concepts or LLM application development techniques such as RAG, agents, and chatbots.
- Strong data intuition and familiarity with basic statistical concepts.
- Analytical, problem-solving, impact-driven, and continuous-learning mindset.
- Proficiency with LLM-powered productivity tools such as Claude or Codex is preferred.
Benefits
- Internship commitment of 2–5 days or 16–40 hours per week.
- Minimum internship duration of 6 months, beginning from the present date.
- Open to students from the third year of undergraduate study through the second year of a master’s program.
Tech Stack
Categories
About Appier
Appier builds AI-driven advertising and marketing software for enterprises, offering programmatic ad bidding, customer data, and predictive tools delivered as SaaS. Founded in 2012 and headquartered in Taipei, it is a public company listed on the Tokyo Stock Exchange (ticker: 4180). Its Ad Cloud processes millions of bid requests per second across APAC, Europe, and the U.S., and is used by in-house and agency marketers.