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Nlp Researcher Jobs (NOW HIRING)

Research new technologies for efficient data management and data retrieval. REQUIREMENTS * PhD or ... At least 3 years of experience in NLP, computer vision, speech, or a related field. * Extensive ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre ...

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Nlp Researcher information

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$30K

$113.1K

$164.5K

How much do nlp researcher jobs pay per year?

As of May 31, 2026, the average yearly pay for nlp researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an NLP Researcher, and why are they important?

To thrive as an NLP Researcher, you need a strong foundation in computer science, linguistics, machine learning, and a relevant advanced degree (often a master's or PhD). Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers) is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for developing innovative solutions and collaborating with multidisciplinary teams. These skills and tools enable NLP Researchers to create state-of-the-art models, drive impactful research, and advance natural language technologies.

What are some common challenges faced by NLP Researchers when working with real-world language data?

NLP Researchers often encounter challenges such as dealing with noisy, unstructured, and diverse language data that may include slang, typos, or code-mixed languages. Additionally, ensuring models perform well across different dialects and domains can be complex, requiring significant data preprocessing and model adaptation. Collaborating closely with data engineers and domain experts is common to address these issues, and staying updated with the latest research helps in applying cutting-edge solutions to practical problems.

What does an NLP researcher do?

An NLP (Natural Language Processing) researcher studies and develops algorithms, models, and systems that enable computers to understand, interpret, and generate human language. Their work often involves areas such as machine learning, linguistics, data analysis, and deep learning. NLP researchers typically conduct experiments, analyze results, and publish findings to advance the state of the art in language technologies. They may work in academia, industry, or research labs, focusing on tasks like machine translation, sentiment analysis, question answering, and more.

What is the difference between Nlp Researcher vs Data Scientist?

AspectNlp ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, Linguistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academia, tech companies focusing on NLP projectsBusiness environments, analytics teams, diverse industries
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

While both roles involve data analysis and machine learning, Nlp Researchers specialize in developing and improving natural language processing algorithms, often working in research settings. Data Scientists focus on analyzing data to derive insights and support decision-making across various industries. The roles overlap in skills like programming and statistical analysis but differ in their primary focus and work environment.

More about Nlp Researcher jobs
What cities are hiring for Nlp Researcher jobs? Cities with the most Nlp Researcher job openings:
What states have the most Nlp Researcher jobs? States with the most job openings for Nlp Researcher jobs include:
Infographic showing various Nlp Researcher job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 90% Full Time, 2% Part Time, and 7% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
NLP Engineer

Other

Posted 12 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.