NLP Engineer

DESCRIPTION The Cubist Data team is looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact. RESPONSIBILITIES Build start-of-the-art deep learning models to process large scale unstructured datasets. Engage with vendors to understand characteristics of datasets. Analyze datasets to generate descriptive statistics and propose potential applications of data. Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers. Research new technologies for efficient data management and data retrieval. REQUIREMENTS PhD or Master’s degree in computer science, data science, statistics or other quantitative discipline. Bachelor’s degree with extensive relevant work experience will also be considered. At least 3 years of experience in NLP, computer vision, speech, or a related field. Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch). In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training. Excellent coding skills in Python. Programming skills in SQL. Experience working with large data sets. Strong oral and written communication skills. Strong team player. Financial industry experience preferred but not required. Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred. Commitment to the highest ethical standards. #J-18808-Ljbffr