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Natural Language Processing and Large Language Models Developer - eFinancialCareers
Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
New York, NY, United States
Posted
7 weeks ago
NLPC++LLMPyTorchPythonTensorFlow
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.
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