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
Internship duration: June/July/August/September 2024 ~ (9-11 weeks)
As a Large Language Model (LLM) Research Scientist Summer Intern, you will be immersed in our research team, contributing to the development and enhancement of cutting-edge language models. You will have the opportunity to work on various projects aimed at advancing natural language understanding and generation capabilities. This internship offers a unique chance to gain hands-on experience in the field of artificial intelligence and contribute to groundbreaking research during the summer months.
We are seeking candidates who are available to commit to a part-time schedule of 2-5 days(16-40 hours) per week. The internship is designed for a minimum duration of 6 months, starting from the present. We encourage applicants to carefully consider their availability for this time commitment before applying.
After completing the Summer internship, there is an opportunity to transition from a Summer intern to a Long-term Intern or a full-time position.
Responsibilities
- Collaborate with senior research scientists to design and implement experiments for improving LLM performance.
- Conduct literature reviews and stay up-to-date with the latest advancements in natural language processing (NLP) and machine learning (ML).
- Develop and implement algorithms for training and fine-tuning large language models.
- Analyze and interpret experimental results to draw meaningful conclusions and insights.
- Participate in team meetings and contribute ideas to drive innovation in LLM research.
- Document research findings and contribute to academic publications and technical reports.
- Assist in the evaluation and benchmarking of LLM models using standard NLP datasets.
About you
[Minimum qualifications]
- Currently enrolled in a graduate program (Bachelor's, Master's, or Ph.D.) in computer science, artificial intelligence, machine learning, or a related field.
- Strong programming skills in languages such as Python, TensorFlow, or PyTorch.
- Solid understanding of machine learning concepts and algorithms.
- Excellent problem-solving skills and analytical thinking.
- Good communication skills and the ability to present complex ideas effectively.
[Preferred qualifications]
- Previous research experience in natural language processing or machine learning.
- Publications in top-tier conferences or journals related to artificial intelligence or NLP.
- Demonstrated interest in advancing the state-of-the-art in language understanding and generation.
