Natural Language Processing and Large Language Models Developer - eFinancialCareers
eFinancialCareers
Location
🇺🇸 New York, United States
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
Join a dynamic team of innovative scientists, technologists, and scholars dedicated to transcending conventional methods. We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models Position
Overview
: Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.
Key Responsibilities
: • Develop, and transition from concept to a functional prototype and final NLP or LLM product. • Immerse yourself in a research-oriented environment, where you'll craft code, experiment with advanced NLP and LLM tools, and refine techniques to extract insights from financial narratives. • Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products. • Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.
Qualifications
& Experience: • Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM. • Strong programming proficiency in languages such as Python, C++, Tensorflow, PyTorch, or similar. • Past roles or internships centered around NLP, LLM, or related linguistic computational models. • A foundation in language models, especially concerning extensive and multifaceted textual datasets, and an interest in applying these to financial challenges. • Credible research contributions, preferably with publications in esteemed platforms focused on NLP or LLM such as ACL, EMNLP, or similar. • Familiarity with cloud ecosystems and managing multi-machine configurations. • Active involvement in the open-source linguistic community.