Natural Language Processing Researcher | G

Research

San Francisco, CAOn-siteFull-time$140k – $220k / year

About this role

Natural Language Processing Researcher | G-Research Natural Language Processing Researcher View Benefits - Role overview - Who are we looking for - Our benefits - The process - Why apply - Meet our people - Interview process - Quantitative Research - London We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. Join a research team where curiosity meets scale. You’ll investigate foundational questions, uncover market insights and push the boundaries of what's possible - all with the support of near-limitless compute and world-class peers. Take the next step in your career. The role G-Research is seeking a Natural Language Processing (NLP) Researcher to join a successful, experienced and growing research group. Alongside NLP experts and quantitative researchers, you will work on very large text corpora, using the latest NLP techniques and state of the art Large Language Models (LLM), with the goal of identifying features of real time text feeds that can we used to predict the future behaviour of financial markets. Who are we looking for? The ideal candidate will have the following skills and experience: - Expert knowledge of Natural Language Processing or a related area of machine learning, through academic or industry experience (or both) - Familiarity with the many recent, exciting advances in NLP and generative AI, in particular adapting LLMs to domain-specific tasks, such as Domain Adaptive PreTraining, Instruction Fine Tuning, quantisation and Low Rank Adaptation - Experience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Text Embeddings, Sentiment Analysis, Name

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