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Natural Language Processing Researcher Jobs (NOW HIRING)

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

The Postdoctoral Research Associate will develop new computational methods in knowledge-grounded artificial intelligence, systems modeling, natural language processing, and data harmonization, with ...

NEC Labs

ML - Researcher

Princeton, NJ · On-site

The Machine Learning Department, NEC Laboratories America has openings for researchers with a ... natural language processing, and personalized healthcare.

1872 Consulting

NLP Developer

Herndon, VA · On-site

... NLP research into production models. • Provide insight into methods that use NLP to further enhance the effectiveness of Spectra AI. • Use Natural Language Processing and related statistical ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work. * Strong proficiency in Python with practical experience ...

University of Florida

Post Doc Associate

Gainesville, FL · On-site

$61K - $65K/yr

Implement methods into software that meets research needs, manage and update source codes as needed ... Experiences in natural language processing, large language models, machine learning (deep learning ...

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Natural Language Processing Researcher information

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$30K

$113.1K

$164.5K

How much do natural language processing researcher jobs pay per year?

As of Sep 10, 2026, the average yearly pay for natural language processing researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a natural language processing researcher do?

A Natural Language Processing (NLP) Researcher studies and develops algorithms and models that enable computers to understand, interpret, and generate human language. Their work involves designing experiments, analyzing linguistic data, and applying machine learning techniques to improve language-based technologies such as chatbots, translation systems, and speech recognition. These researchers often collaborate with engineers and data scientists to bring innovative language solutions to real-world applications.

What are the key skills and qualifications needed to thrive as a natural language processing researcher?

To thrive as a Natural Language Processing (NLP) Researcher, you need a strong background in computer science, linguistics, and machine learning, typically supported by an advanced degree such as a Master's or Ph.D. in a relevant field. Proficiency with programming languages like Python, NLP libraries (e.g., NLTK, spaCy, Hugging Face), and experience with deep learning frameworks such as TensorFlow or PyTorch are essential. Strong analytical thinking, creativity, and effective collaboration skills help researchers develop innovative solutions and work in multidisciplinary teams. These skills ensure the ability to design, implement, and evaluate state-of-the-art NLP models and advance the field in both academic and industry settings.

What are some common challenges faced by natural language processing researchers when working with real-world datasets?

Natural Language Processing Researchers often encounter challenges such as dealing with noisy, unstructured, or imbalanced data, which can significantly impact model performance. Additionally, ensuring that models generalize well across different domains and languages can be complex, especially when annotated data is scarce. Researchers must also address ethical considerations, such as bias and fairness in language models, and frequently collaborate with data engineers, domain experts, and software developers to refine data pipelines and deploy solutions effectively.

What is the difference between Natural Language Processing Researcher vs Data Scientist?

AspectNatural Language Processing ResearcherData Scientist
CredentialsAdvanced degrees in Computer Science, AI, or related fields; knowledge of NLP frameworksDegree in Data Science, Statistics, or related fields; programming skills in Python/R
Work EnvironmentResearch labs, academia, AI-focused companiesBusiness environments, tech companies, consulting firms
Industry UsageDeveloping NLP models, language understanding, research publicationsData analysis, predictive modeling, business insights

While both roles involve data analysis and programming, Natural Language Processing Researchers focus specifically on language models and NLP innovations, often in research settings. Data Scientists work broadly across data analysis and modeling for business solutions. The roles overlap in programming skills and data handling but differ in their primary focus and application areas.

What are popular job titles related to Natural Language Processing Researcher jobs?

For Natural Language Processing Researcher jobs, the most frequently searched job titles are:

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Bellevue, WA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

Internship

Re-posted 26 days ago

Key responsibilities

  • Perform research to advance the science and technology of intelligent machines

  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources

  • Analyze and improve efficiency, scalability, and stability of various deployed systems

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:
  • Perform research to advance the science and technology of intelligent machines
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
  • Analyze and improve efficiency, scalability, and stability of various deployed systems
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:
  • Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Experience working and communicating cross functionally in a team environment
  • Experience with training deep neural networks for key NLP tasks
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Intent to return to degree program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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