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Internship Nlp Engineer Jobs (NOW HIRING)

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ...

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... engineer early in their career who wants to work at the intersection of NLP algorithms, search ... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ...

Internship experience, academic work, bootcamp projects, portfolio projects, or open-source ... Foundational understanding of machine learning, deep learning, NLP, data processing, and model ...

Internship (Full-Time / Part-Time) Duration: 3-6 Months (Extendable) About the Role We are looking ... NLP fundamentals * Deep Learning * Computer Vision * Generative AI * AWS, Azure, or Google Cloud

New

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... or internship experience involving machine learning or AI (especially work with LLMs or NLP ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... or internship experience involving machine learning or AI (especially work with LLMs or NLP ...

$118K - $142K/yr

... NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

New

$110K - $132K/yr

... NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

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How much do internship nlp engineer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for internship nlp engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on as an NLP Engineer intern?

As an NLP Engineer intern, you can expect to work on a range of projects involving text data processing, natural language understanding, and machine learning model development. Typical tasks might include data cleaning, annotating datasets, building and evaluating language models, and assisting with the integration of NLP solutions into existing applications. You'll likely collaborate closely with data scientists, software engineers, and senior NLP specialists, gaining exposure to real-world challenges such as handling noisy data and optimizing model performance. This hands-on experience provides valuable insights into both the technical and collaborative aspects of NLP engineering.

What does an Internship NLP Engineer do?

An Internship NLP (Natural Language Processing) Engineer assists with developing and optimizing algorithms that enable computers to understand and process human language. Their tasks often include collecting and cleaning text data, experimenting with machine learning models, and supporting the implementation of NLP solutions such as chatbots, sentiment analysis tools, or language translators. Interns typically work under the guidance of senior engineers and researchers, gaining hands-on experience with popular libraries like NLTK, spaCy, or Hugging Face Transformers. This role is ideal for students or recent graduates interested in applying their programming and linguistic skills to real-world problems.

What are the key skills and qualifications needed to thrive as an Internship NLP Engineer, and why are they important?

To thrive as an Internship NLP Engineer, you need a solid understanding of natural language processing concepts, programming skills (especially in Python), and familiarity with machine learning algorithms, typically supported by coursework or projects in computer science or related fields. Proficiency with NLP libraries like NLTK, spaCy, or Hugging Face Transformers, as well as experience using tools such as TensorFlow or PyTorch, is highly valuable. Strong problem-solving abilities, curiosity, and communication skills help you collaborate effectively and learn quickly in a team environment. These competencies are crucial for developing, testing, and refining NLP models that address real-world language challenges.
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Senior NLP Research Engineer - Artificial Intelligence

Senior NLP Research Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies


Job description

Senior NLP Research Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049310
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
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

You'll need to have:
  • 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

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981