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Natural Language Processing Nlp Phd Jobs (NOW HIRING)

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$72K - $92K/yr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Design, develop, and implement novel NLP algorithms and machine learning models. * Collaborate with ...

Capture2, Inc.

NLP Data Lead

San Diego, CA ยท On-site

Role Objective Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction ...

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How much do natural language processing nlp phd jobs pay per year?

As of Sep 9, 2026, the average yearly pay for natural language processing nlp phd in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a natural language processing NLP PhD?

A Natural Language Processing (NLP) PhD is a doctoral degree focused on the study and advancement of computational techniques that enable computers to understand, interpret, and generate human language. It involves research in areas such as machine learning, linguistics, artificial intelligence, and computer science. Graduates typically contribute to innovations in speech recognition, machine translation, sentiment analysis, and dialogue systems. The program usually requires original research, coursework, and the completion of a dissertation. Careers for NLP PhDs are available in academia, tech industry research labs, and companies specializing in AI-driven products.

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

To thrive as an NLP PhD, you need deep expertise in computational linguistics, machine learning, and statistics, typically supported by a doctorate in computer science, linguistics, or a related field. Proficiency with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Hugging Face), and familiarity with deep learning frameworks (e.g., TensorFlow or PyTorch) are essential. Strong analytical thinking, research communication, and collaboration skills make candidates stand out. These abilities are crucial for driving innovation, publishing impactful research, and developing advanced language technologies.

What types of cross-functional teams do NLP PhDs typically collaborate with in industry settings?

NLP PhDs often work closely with data scientists, software engineers, product managers, and UX researchers to develop and deploy language technologies. Collaboration may include refining data pipelines, optimizing machine learning models, translating research into production-ready code, and aligning solutions with user needs or business goals. This multidisciplinary teamwork not only accelerates innovation but also broadens your perspective and skill set, helping you grow both technically and professionally.

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

Infographic showing various Natural Language Processing Nlp Phd job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Natural Language Processing (NLP) Specialist

Annapolis Junction, MD โ€ข On-site

Cymertek Corporation
IT Servicesย โ€ขย 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Natural Language Processing (NLP) Specialist to join their team and work on cutting-edge language-based technologies. In this role, you will design, implement, and optimize NLP models to extract insights, process unstructured data, and enhance user interactions.
Responsibilities:
โ€ข Design and implement NLP algorithms
โ€ข Analyze and preprocess text data
โ€ข Develop language models
โ€ข Test and optimize NLP solutions
โ€ข Collaborate with cross-functional teams
โ€ข Provide insights from unstructured data
Qualifications:
Required:
โ€ข Proficiency in Python or R
โ€ข Experience with NLP libraries
โ€ข Text preprocessing techniques
โ€ข Statistical analysis
โ€ข Machine learning model development
โ€ข Data visualization skills
โ€ข Bachelor's Degree in Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, Machine Learning, Linguistics, Information Technology, Mathematics, Cognitive Science, Software Engineering, etc.
โ€ข TS/SCI Full Poly clearance
โ€ข Full U.S. Citizenship
Preferred:
โ€ข Knowledge of deep learning frameworks
โ€ข Familiarity with transformer models
โ€ข Experience with speech processing
โ€ข Proficiency in sentiment analysis
โ€ข Understanding of information retrieval
โ€ข Knowledge of semantic search
Company:
With headquarters in Maryland, Cymertek [/'sฤซ-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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