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.