PHD with 3+ years or Master of Data Science 4+ years.
Note:
LLM = large language models
NLP = Natural language processing
Responsibilities:
Ideate and develop innovative approaches to enhance LLM responses.
Collaborate with a multidisciplinary team to improve the usability and creativity of language models.
Design and test algorithms leveraging computational and statistical techniques for text and image data.
Analyze complex data and present findings to drive problem-solving initiatives.
Clean and preprocess data for model development and implementation.
Required Skills & Experience:
Ph.D. with 3+ years (or MS with 4+ years of post-MS experience) in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or an Analytics discipline.
3+ years of work experience with expertise in NLP or Information Retrieval.
Proficiency in Python or another high-level programming language.
Experience developing statistical and machine learning models, preferably for environmental or agronomical applications.
Familiarity with Large Language Models (LLMs).
Desired Skills & Experience:
Experience working with agricultural or biological scientific data.
Ability to translate business problems into research initiatives.
Creativity in defining and executing exploratory projects.