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Phd Position Nlp Jobs (NOW HIRING)

WEX, Inc.

PhD Intern - AI/ML/NLP Engineer

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales ...

NorthEastern

Postdoctoral Research Fellow

Charlotte, NC

$54K - $76K/yr

... NLP methods and a clear interest in problems related to AI safety. Minimum Qualifications: * PhD in ... Position Type Research Additional Information Northeastern University considers factors such as ...

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Phd Position Nlp information

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How much do phd position nlp jobs pay per year?

As of Jun 15, 2026, the average yearly pay for phd position nlp 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 PhD position in NLP?

A PhD position in Natural Language Processing (NLP) is a research-focused academic role within a university or research institute where the candidate works towards a doctoral degree. The position involves conducting original research on topics related to NLP, such as language modeling, machine translation, or sentiment analysis. PhD candidates typically collaborate with faculty and other researchers, publish findings in academic journals, and may also assist in teaching or mentoring students. The role offers opportunities to advance the field of NLP and develop expertise in both theoretical and applied aspects of language technologies.

What are some common challenges faced by PhD students specializing in Natural Language Processing (NLP)?

PhD students in NLP often encounter challenges such as staying current with the rapidly evolving research landscape, managing large and complex datasets, and developing novel models that contribute original insights. Balancing research, coursework, and teaching responsibilities can be demanding, and publishing in top conferences requires persistence and resilience. However, close collaboration with advisors and peers, as well as engagement in interdisciplinary projects, can provide valuable support and foster professional growth.

What is the difference between Phd Position Nlp vs Research Scientist Nlp?

AspectPhd Position NlpResearch Scientist Nlp
Required CredentialsPhD in Computer Science, Linguistics, or related fieldMaster's or PhD in similar fields
Work EnvironmentAcademic or research lab, often project-basedIndustry R&D teams, tech companies
Employer & Industry UsageUniversities, research institutes, some tech companiesTech companies, AI firms, startups
Common Search & Comparison IntentUnderstanding academic research rolesIndustry research roles and career paths

While a Phd Position Nlp typically involves academic research, coursework, and thesis work, a Research Scientist Nlp is a professional role focused on applying NLP research to real-world products within industry settings. Both roles require strong NLP expertise, but differ mainly in environment and career focus.

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

To thrive as a PhD candidate in NLP, you generally need a strong background in computer science, mathematics, and linguistics, often supported by a relevant master's degree or research experience. Familiarity with programming languages such as Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (e.g., NLTK, spaCy) is essential. Critical thinking, curiosity, and effective communication are vital soft skills for navigating complex problems and collaborating with peers. These skills and qualifications are important for advancing research, publishing impactful work, and contributing to innovative solutions in the rapidly evolving field of NLP.
Infographic showing various Phd Position Nlp job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
PhD Intern - AI/ML/NLP Engineer

PhD Intern - AI/ML/NLP Engineer

WEX, Inc.

Remote

$35 - $43/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

WEX Inc. rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

7th of 17 rated payment service providers

Job description

About the team:
We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions. We are building groundbreaking products that benefit our customers and help them grow their businesses. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.
How you'll make an impact:
As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world problems. You are a highly motivated researcher with a passion for applying cutting-edge AI, Machine Learning, and software engineering to create tangible business value.
This is a project-based internship. You will be paired with a dedicated mentor and given a high-impact project to own, from research and design through to a functional prototype; you'll:
  • Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.
  • Apply your research skills to design, code, and test novel AI/ML solutions.
  • Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.
  • Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.
  • Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).
  • Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

Experience you'll bring:
  • Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
  • Demonstrated research experience in AI, Machine Learning, Deep Learning, or Generative AI (e.g., publications, conference papers, or significant project work).
  • Strong programming skills in at least one of our core languages: Python, Java, C#, or GoLang.
  • Deep understanding of modern ML algorithms, platforms, and packages (including deep learning and LLMs).
  • Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference, maximum likelihood estimation).
  • A collaborative mindset and strong communication skills, with an ability to translate complex research into practical applications.
  • Evidence of innovative problem-solving and a drive to learn and excel.

Preferred Skills:
  • Experience with cloud platforms (e.g., AWS).
  • Familiarity with software development best practices (SDLC), CI/CD tools, and IaC (e.g., Terraform).
  • Familiarity with container orchestration (e.g., Kubernetes).
  • Experience or interest in the financial technology (FinTech) industry.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.
Pay Range: $35.00 - $43.00

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