Data Scientist (NLP) Mid
Ph.D. + 3 years of experience (or MS with 4+ years of post MS experience), Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or an Analytics discipline.
Requires:
Strong background with NLP & Deep Learning as well as, proficiency in Python or in another high-level programming language
Experience in developing statistical, and machine learning models for environmental and agronomical applications.
Familiarity with LLM
Experience analyzing and presenting complex data and proven problem-solving abilities.
Strong publication record in leading scientific journals
Description
We're seeking a talented and innovative NLP/Information Retrieval Scientist to join our team. In this role, you will play a pivotal part in enhancing Large Language Models (LLMs) to provide more accurate, context-aware, and creatively curated responses with real-world applications.
As an NLP/Information Retrieval Scientist, you will develop and to improve the usability and creativity of our LLM responses. You will collaborate closely with our multidisciplinary team of researchers and engineers to not only advance the technical aspects but also bring real-world relevance and creativity into our language models.
The successful candidate will use the latest innovations in NLP and LLM to propose software solutions to improve customer experience. The NLP Data Scientist will design and test algorithms, conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches for Text and Image Data.
Desired Skills:
Experience working with agricultural/biological scientific data is highly desired.
Drive for translating business problems into research initiatives that deliver business value.
Creativity in defining challenging exploratory projects.
