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NLP Engineer

Point72 Asset Management - New York

Posted Jan 23, 2025

Benefits

Parental leave
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Non-birth-parent leave
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Where they hire

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About this role

NLP Engineer New York DESCRIPTION We are 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.

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