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Nlp Developer Jobs (NOW HIRING)

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Design, build and evaluate statistical models and rule-based algorithms for NLP Qualifications * Bachelor's degree in a relevant subject area (e.g., computer science, electrical engineering ...

Nutanix

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

About the Team The senior staff engineer will join the Unified Storage team at Nutanix, located in ... Your Role * Design and develop NLP/LLM-powered features to enhance the DataHub platform.

Roberts Recruiting

NLP Tools Engineer

Boston, MA

Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning. We are looking for brilliant software engineers ...

Capture2, Inc.

NLP Data Lead

San Diego, CA

We are seeking an application engineer with experience extracting key information from unstructured ... An individual with a background in NLP technologies will be integral to guiding the training and ...

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How much do nlp developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for nlp developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

NLP developers are likely to continue playing a vital role as AI advances, focusing on designing and improving language models. Jobs that require complex problem-solving, creativity, and emotional intelligence—such as data scientists, AI ethicists, and software engineers—are also expected to persist. These roles involve skills that are difficult for AI to fully replicate, ensuring ongoing demand.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI researchers or executive positions like AI directors or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What does an NLP Developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

Is NLP in high demand?

NLP (Natural Language Processing) is a rapidly growing field within artificial intelligence, with increasing demand for NLP developers across industries such as tech, healthcare, and finance. Skills in machine learning, deep learning, and tools like Python and TensorFlow enhance job prospects, which are expected to remain strong as businesses seek to automate and analyze language data.

What are some common challenges faced by NLP Developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, with roles requiring strong technical expertise and leadership abilities.

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

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.
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NLP Developer jobs near you
Infographic showing various Nlp Developer job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
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

Posted 3 days ago

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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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

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