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 Large Language Model (LLM) Research Scientist, you will be a key member of our research team, dedicated to advancing the field of natural language processing (NLP) and machine learning (ML). You will play a crucial role in the design, development, and evaluation of state-of-the-art language models, contributing to the creation of innovative solutions for language understanding and generation tasks. This role offers the opportunity to work on cutting-edge research projects and collaborate with a team of talented researchers and engineers in a stimulating and dynamic environment

Responsibilities

• Lead the design and implementation of novel algorithms and architectures for large language models.
• Conduct research experiments to investigate and improve the performance and efficiency of LLMs across various NLP tasks.
• Analyze and interpret experimental results to derive meaningful insights and contribute to scientific publications.
• Collaborate with cross-functional teams to integrate LLMs into practical applications and products.
• Stay abreast of the latest advancements in NLP and ML research, and incorporate relevant techniques into our work.
• Mentor junior researchers and interns, providing guidance and support in their research endeavors.
• Engage with the academic and research community through conference presentations, publications, and collaborations.
• Drive innovation within the team by proposing and exploring new research directions and ideas.

About you

[Minimum qualifications]

• Experience in computer science, artificial intelligence, machine learning, or a related field.
• Proven track record of research excellence demonstrated through publications in top-tier conferences or journals in NLP or ML.
• Expertise in deep learning, with a focus on natural language processing tasks and architectures.
• Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch.
• Strong analytical and problem-solving skills, with the ability to formulate and tackle complex research problems.
• Excellent communication skills and the ability to convey technical concepts effectively to both technical and non-technical audiences.

[Preferred qualifications]

• Experience with large-scale data processing and distributed computing platforms.
• Familiarity with advanced techniques in deep learning, such as attention mechanisms, transformer architectures, and self-supervised learning.
• Knowledge of additional programming languages such as C++, Java, or Scala.
• Prior experience in leading or contributing to open-source projects related to NLP or ML.
• Ability to work effectively in a collaborative team environment and drive projects to completion.
• Demonstrated passion for advancing the state-of-the-art in NLP and ML through research and innovation.