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Natural Language Processing Nlp Phd Jobs (NOW HIRING)

... learning, natural language processing (NLP), text mining and computational linguistics ... Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural ...

... Natural Language Processing through industry, research, or graduate/PhD-level work. * Strong ... NLP Pipelines * Feature Engineering and Model Optimization * Experience with industry-standard ...

ML PhD Intern - LLMs & Generative AI Truveta is the world's first health provider led data platform ... natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and ...

ML PhD Intern - LLMs & Generative AI Truveta is the world's first health provider led data platform ... natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and ...

PhD level Linguist II

Burlingame, CA · On-site

$74K - $124K/yr

... Natural Language Processing (NLP). * Design and conduct experiments to evaluate transcription ... Phd * Arabic language Job details Job ID 332928 Role PhD level Linguist II Location Burlingame ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Provide subject matter expertise in natural language processing (NLP). Qualifications * Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or ...

Responsibilities : • Develop and fine-tune AI models for natural language processing (NLP) tasks ... PhD + 4 years Preferred : • Experience in healthcare, particularly working with unstructured ...

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Natural Language Processing Nlp Phd information

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$37.5K

$122.7K

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

As of Sep 10, 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.

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

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.

ML / NLP DATA SCIENTIST (Relocation Huntsville, Alabama) with Security Clearance

Alexandria, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Key responsibilities

  • Design, develop, and deploy advanced machine learning models supporting mission-critical objectives

  • Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data

  • Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions


Job description

Senior Data Scientist – TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly: Brenton Anderson 📧 🔗 https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Brenton Anderson Technical Recruiter Kforce Government Solutions