NLP Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

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.

Read the full description at boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.