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Natural Language Processing Research Intern Jobs

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

GIA

Research Intern

Manhattan, NY · On-site

$24/hr

... natural, treated, and synthetic-colored stones. This internship provides hands-on exposure to ... Language skills: ability to read, comprehend, and follow standard procedures or instructions in the ...

GIA

Research Intern

Carlsbad, CA · On-site

$24/hr

... natural, treated, and synthetic-colored stones. This internship provides hands-on exposure to ... Language skills: ability to read, comprehend, and follow standard procedures or instructions in the ...

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How much do natural language processing research intern jobs pay per month?

As of Sep 10, 2026, the average monthly pay for natural language processing research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What does a natural language processing research intern do?

A Natural Language Processing (NLP) Research Intern assists in developing and improving algorithms that enable computers to understand and process human language. Their responsibilities typically include data collection, preprocessing text data, implementing and testing NLP models, and analyzing results. They often work with machine learning frameworks and collaborate with research teams to contribute to ongoing projects. The role offers valuable hands-on experience in both linguistic analysis and software development in the field of artificial intelligence.

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

To thrive as a Natural Language Processing Research Intern, you need a solid background in computer science, linguistics, and mathematics, often evidenced by progress toward a relevant degree and practical experience with NLP concepts. Familiarity with programming languages such as Python, libraries like PyTorch or TensorFlow, and tools such as NLTK or spaCy is typically required. Strong analytical thinking, creativity, and effective communication skills help you tackle complex problems and share findings with your team. These competencies are vital for developing innovative language models and contributing meaningful research in a fast-evolving field.

What are the most common challenges faced by natural language processing research interns during their internship?

Natural Language Processing (NLP) Research Interns often encounter challenges such as understanding and implementing complex algorithms, managing large and diverse datasets, and keeping up with rapidly evolving research literature. Collaborating with experienced researchers and engineers also requires strong communication skills to articulate ideas and seek feedback effectively. Additionally, interns may need to balance exploratory research with practical deadlines, which can be demanding but is also an excellent opportunity for growth and learning in the field.

What cities are hiring for Natural Language Processing Research Intern jobs?

Cities with the most Natural Language Processing Research Intern job openings:

What states have the most Natural Language Processing Research Intern jobs?

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Infographic showing various Natural Language Processing Research Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 50% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

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

Menlo Park, CA • On-site

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

Internship

Re-posted 27 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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