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Phd Position Nlp Jobs (NOW HIRING)

Point72

NLP Engineer

New York, NY

This position is ideal for candidates who are eager to grow their skills in the financial industry ... PhD or Master's degree in computer science, data science, statistics or other quantitative ...

Point72

NLP Engineer

New York, NY · On-site

This position is ideal for candidates who are eager to grow their skills in the financial industry ... PhD or Master's degree in computer science, data science, statistics or other quantitative ...

Nutanix

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

PhD or Master's in Computer Science, Machine Learning, NLP, or related field * 5+ years of ... The pay range for this position at commencement of employment is expected to be between USD $240 ...

IPsoft

NLP R&D Scientist

New York, NY

Multiple positions are open in this area. We have interest in candidates with a machine learning ... The candidate should have a master's degree, PhD would be preferred. Open source development ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

... PhD). Position Responsibilities • Translate risk management business requirements into well ... Deliverables The Sr Data Scientist will design and implement machine learning and NLP solutions for ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

... PhD). Position Responsibilities • Translate risk management business requirements into well ... Deliverables The Sr Data Scientist will design and implement machine learning and NLP solutions for ...

Axle

Data Science Fellow - AI/NLP

Rockville, MD

PhD in computer science, computational biology, bioinformatics, biomedical informatics, NLP ... Individuals may be required to perform duties outside of their position, or responsibilities as ...

Hirevouch

Senior AI Research Scientist (NLP)

POSITION OVERVIEW As a Senior Research AI Scientist, you will play a pivotal role in developing and ... MS or PHD degree in Computer Science, Data Science, Statistics or related. * Minimum of 5 years of ...

hireVouch

Senior AI Research Scientist (NLP)

POSITION OVERVIEW As a Senior Research AI Scientist, you will play a pivotal role in developing and ... MS or PHD degree in Computer Science, Data Science, Statistics or related. * Minimum of 5 years of ...

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Phd Position Nlp information

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$196.5K

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.
NLP Engineer

NLP Engineer

Point72

New York, NY

Other

Posted 28 days ago

Job description

DESCRIPTION

We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact.

RESPONSIBILITIES

  • Build start-of-the-art deep learning models to process large scale unstructured datasets.
  • Engage with vendors to understand characteristics of datasets.
  • Analyze datasets to generate descriptive statistics and propose potential applications of data.
  • Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.
  • Research new technologies for efficient data management and data retrieval.

REQUIREMENTS

  • PhD or Master's degree in computer science, data science, statistics or other quantitative discipline. Bachelor's degree with extensive relevant work experience will also be considered.
  • At least 3 years of experience in NLP, computer vision, speech, or a related field.
  • Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training.
  • Excellent coding skills in Python.
  • Programming skills in SQL.
  • Experience working with large data sets.
  • Strong oral and written communication skills.
  • Strong team player.
  • Financial industry experience preferred but not required.
  • Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred.
  • Commitment to the highest ethical standards.

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