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# NLP Research Engineer - Artificial Intelligence

- **Company:** AI ENGINEERS, INC.
- **Location:** New York, United States
- **Experience:** Expert
- **Salary:** $165,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Data Structures, Information Extraction, Machine Learning, Natural Language Processing, Open Source Technology, Sentiment Analysis, Software Engineering, Pytorch, Large Language Models, Deep Learning, Question Answering, Text Analysis
- **Published:** August 1, 2026
- **Apply:** https://www.dice.com/job-detail/e25920a4-828a-4811-8278-26e66a42a9e2

## About the Role

* Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
 * Ph.D. in ML, NLP or a relevant field and 2+ years of relevant work experience or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 5+ years of relevant work experience
 * An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
 * Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
 * A track record of authoring publications in top conferences and journals is a strong plus
 * Experience with deep learning frameworks such as PyTorch
 * Proficiency in software engineering

## Description

We are looking for Senior NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team.

Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics.
Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations.

You'll have the opportunity to:

 * Collaborate with colleagues on production systems and write, test, and maintain production quality code
 * Design, train, experiment, and evaluate NLP models, algorithms and solutions
 * Demonstrate technical leadership by owning cross-team projects
 * Stay current with the latest research in NLP and incorporate new findings into our models and methodologies
 * Represent Bloomberg at scientific and industry conference and in open-source communities
 * Publish product and research findings in documentation, whitepapers or publications to leading academic venues


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