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Natural Language Processing Research Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. * Demonstrated success in using or (and preferably ...

PROPRIUS

AI Research Engineer

San Francisco, CA

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... to natural language processing. Experience with using modern frameworks such as Tensorflow.

Apple

AIML - Machine Learning Research

Seattle, WA

$139K - $258K/yr

Experienced researcher with publications in areas of machine learning, including natural language processing Deep understanding of cutting edge RL algorithms and large language model. Deep ...

IBM

AI Foundations - Research Engineer

Cambridge, MA · On-site

$225K/yr

IBM Research is the innovation engine of IBM, focusing on advancing AI and hybrid cloud ... natural language processing, to drive business value and innovation. • Collaborate with Teams:

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Translate NLP research ideas into maintainable, scalable software * Collaborate with an Agile team ...

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 ...

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for tasks like inventory scanning or patient ...

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Natural Language Processing Research information

What are the key skills and qualifications needed to thrive as a Natural Language Processing (NLP) Researcher, and why are they important?

To thrive as a Natural Language Processing Researcher, you need a solid background in computer science, machine learning, linguistics, and typically a graduate degree in a relevant field. Proficiency with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, along with experience in publishing academic research. Strong analytical thinking, creativity, and effective communication skills help in developing novel solutions and collaborating within interdisciplinary teams. These skills are vital for advancing the field, solving complex language problems, and driving impactful research outcomes.

Is NLP a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and offer opportunities in tech companies, research institutions, and startups. The demand for NLP expertise is increasing as businesses seek to improve automation, chatbots, and language translation tools.

What are some typical challenges faced by professionals in Natural Language Processing (NLP) research roles?

NLP researchers often encounter challenges related to the complexity and ambiguity of human language, such as handling sarcasm, idioms, or multilingual datasets. Keeping up with rapid advancements in deep learning architectures and large language models is also a common demand. Additionally, working with large-scale datasets requires robust data cleaning and preprocessing skills, as well as collaboration with cross-functional teams like data engineers and product managers to ensure research findings translate into practical applications.

Will AI replace NLP?

As a Natural Language Processing researcher, AI is a tool that enhances NLP capabilities rather than replacing the field. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and evaluating these systems. The role involves staying current with evolving algorithms and tools to ensure effective language understanding and processing.

What is Natural Language Processing (NLP) research?

Natural Language Processing (NLP) research focuses on enabling computers to understand, interpret, and generate human language. Researchers in this field work on developing algorithms and models that help machines process text and speech, such as chatbots, translation systems, and sentiment analysis tools. NLP research combines knowledge from linguistics, computer science, and artificial intelligence to solve complex language-related problems. Common tasks include language modeling, machine translation, and information extraction.

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

AspectNatural Language Processing ResearchData Scientist
Required CredentialsAdvanced degrees in CS, NLP, or AI; research experienceDegree in CS, Statistics, or related; some research experience beneficial
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companies focusing on NLPVarious industries including finance, healthcare, tech, e-commerce
Common Search & Comparison IntentUnderstanding research roles in NLPUnderstanding data analysis and modeling roles

Natural Language Processing Research focuses on developing new algorithms and models to advance NLP technology, often within academic or research settings. Data Scientists analyze data to extract insights, build predictive models, and support business decisions. While both roles require strong analytical skills, NLP Research emphasizes innovation in language models, whereas Data Scientists focus on applying data techniques across various domains.

Is NLP a dead field?

Natural Language Processing (NLP) is an active and rapidly evolving field within artificial intelligence, with ongoing research and commercial applications such as chatbots, translation, and sentiment analysis. NLP specialists are in demand as organizations seek to improve human-computer interaction using machine learning tools and large datasets. The field continues to grow with advancements in deep learning and transformer models like GPT and BERT.

Is ML a high paying job?

Machine Learning (ML) roles, including those in Natural Language Processing research, are generally well-compensated due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but advanced ML positions often offer above-average salaries compared to many other tech roles.
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What job categories do people searching Natural Language Processing Research jobs look for? The top searched job categories for Natural Language Processing Research jobs are:
Natural Language Processing Research jobs near you
Infographic showing various Natural Language Processing Research job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

2026 Fall Intern, ML/NLP Research

Samsung Research America Internship

Mountain View, CA • On-site

$48 - $63/hr

Internship

Posted 16 days ago

Job description

Lab Summary: AI Research Center (AIC) located in Mountain View, California focuses on research and development which directly impacts future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence.
Position Summary: Samsung Research AI center, located in Mountain View, CA, is currently recruiting world-class students who can thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects. You will be part of an exciting project to build an adaptive, personalized, contextual and secure AI model and system to enable fast, accurate and safe interactions tailored to users' needs on Samsung devices.
Position Responsibilities: We are looking for Fall Interns (Flexible start date for a 3 month internship between September-December).
  • Develop and implement novel deep learning/reinforcement learning algorithms for natural language processing (text, speech) in various applications
  • Contribute to the research activities of our team
  • Generate creative solutions (patents) and publish in top conferences (papers)

Required Skills:
  • Current Ph.D. student in CS, EE, or related field
  • Experience in one or more of the following areas:
    • Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc.
    • Experience in planning, tool use, agent AI, and agent memory to develop autonomous systems for decision-making, problem-solving, and adaptability.
    • Experience in knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro-symbolic learning)
    • Experience in conversational AI technologies: natural language processing (e.g., language models, semantic parsing, natural language generation etc.), dialogue (e.g., state tracking, policy learning), and representation learning (embedding, conceptualization, etc.)
    • Experience in multimodal AI technologies for various multimodal applications
    • Experience in on-device AI technologies such as lightweight model architecture design
  • Teamwork and communication skills
  • Proficiency in a neural network library (e.g., PyTorch, TensorFlow)
  • Track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.)

Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Hourly Pay Rate Range
$48-$63 USD
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

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