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Natural Language Processing Nlp Phd Jobs (NOW HIRING)

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

The ideal candidate will have hands-on experience in building intelligent models using Natural Language Processing (NLP) techniques, working with large datasets, and leveraging LLMs (Large Language ...

Advent Services LLC

Data Scientist

Washington, DC · On-site

Experience with natural language processing (NLP), machine learning, and data visualization. Knowledge of SQL and database management. Ability to interpret and present complex data clearly to both ...

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

As of Jun 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, and why are they important?

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.
Infographic showing various Natural Language Processing Nlp Phd job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Lead Developer | Kore.AI | Dallas

Lead Developer | Kore.AI | Dallas

Photon

Addison, TX • On-site, Remote

$112K - $140K/yr

Other

Posted 9 days ago

Job description

Job Title: Lead Developer - Kore.AI

Job Description:

As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in designing, developing, and maintaining conversational AI solutions using the Kore.AI platform. You will play a critical role in the development lifecycle, from requirements gathering to deployment, ensuring the delivery of high-quality and innovative conversational experiences.

Responsibilities:

  1. Lead a team of developers in the design, development, and maintenance of conversational AI solutions using the Kore.AI platform.
  2. Collaborate with cross-functional teams, including product managers, UX designers, and quality assurance, to gather requirements and translate them into technical specifications.
  3. Architect and design scalable and robust conversational AI solutions that align with project goals and requirements.
  4. Develop chatbots and virtual assistants using the Kore.AI platform, utilizing programming languages, scripting, and Kore.AI APIs and tools.
  5. Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations.
  6. Ensure code quality and adherence to best practices, perform code reviews, and provide technical guidance and mentoring to junior developers.
  7. Work closely with DevOps teams to establish continuous integration and deployment pipelines for efficient and automated software releases.
  8. Troubleshoot and resolve technical issues and bugs, ensuring smooth operation of conversational AI solutions.
  9. Stay up to date with the latest trends and advancements in conversational AI, natural language processing, and related technologies, and apply them to improve development processes and outcomes.
  10. Provide technical leadership, guidance, and support to the development team, fostering a collaborative and innovative work environment.

Requirements:

  1. Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's degree is a plus.
  2. Proven experience as a software developer, with expertise in designing and developing conversational AI solutions.
  3. Strong proficiency in programming languages such as Java, Python, or JavaScript.
  4. Experience working with conversational AI platforms, specifically Kore.AI, and familiarity with its APIs and tools.
  5. Solid understanding of natural language processing (NLP) and natural language understanding (NLU) concepts and technologies.
  6. Experience with cloud platforms such as AWS, Azure, or GCP, and knowledge of containerization technologies like Docker.
  7. Excellent problem-solving and debugging skills, with a keen attention to detail.
  8. Strong leadership and team management skills, with the ability to mentor and guide developers effectively.
  9. Familiarity with agile software development methodologies and tools.
  10. Excellent verbal and written communication skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.

As the Lead Developer for Kore.AI, you will have the opportunity to lead and contribute to the development of cutting-edge conversational AI solutions. Your technical expertise, leadership skills, and passion for innovation will drive the success of the team and enable the delivery of exceptional conversational experiences.

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