Natural Language Processing and Large Language Models Developer

    • Maven Search
  • Posted 60+ days ago | Updated 2 days ago

Overview

On Site
Full Time

Skills

Natural language processing
Large Language Models (LLMs)
C++
Computer science
Language models
Open source
AIM
Finance
Management
Data
Research
Collaboration
Linguistics
Partnership
Software development
Python
TensorFlow
PyTorch
Publications
ACL
Cloud computing

Job Details

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.