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Natural Language Processing Nlp Engineer Jobs (NOW HIRING)

UnitedHealth Group

NLP Engineer

San Diego, CA · On-site

$72K - $130K/yr

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr ...

UnitedHealth Group

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr ...

UnitedHealth Group

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr ...

Conch Technologies Inc

AI/ML NLP Engineer

Phoenix, AZ · On-site

Hands-on experience with AI/ML and Natural Language Processing (NLP) * Experience working with ... Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines Ideal Candidate A ...

AIToolboard

$72K - $92K/yr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Develop and mentor junior researchers and engineers in NLP and machine learning techniques.

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Natural Language Processing Nlp Engineer information

What is a natural language processing NLP engineer?

Natural Language Processing (NLP) Engineers are specialists who design, build, and implement systems that allow computers to understand, interpret, and generate human language. They combine expertise in linguistics, machine learning, and computer science to work on tasks such as text analysis, speech recognition, language translation, and chatbot development. NLP Engineers often use techniques like tokenization, sentiment analysis, and named entity recognition to solve real-world language problems. Their work is crucial in making technology more accessible and user-friendly through natural, human-like interactions.

What are some common challenges faced by NLP engineers when working with real-world datasets?

NLP Engineers often encounter challenges with real-world datasets, such as handling noisy, unstructured, or imbalanced data. Text data can include misspellings, slang, multiple languages, and inconsistencies that require robust preprocessing techniques. Additionally, ensuring that models generalize well across diverse user inputs and comply with privacy regulations can be complex. Collaborating with data scientists, domain experts, and software engineers is crucial to address these challenges effectively and deliver reliable NLP solutions.

What are the key skills and qualifications needed to thrive as a natural language processing NLP engineer, and why are they important?

To thrive as a Natural Language Processing (NLP) Engineer, you need a strong background in computer science, linguistics, statistics, and proficiency in programming languages like Python, along with a degree in a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face), machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication help NLP Engineers collaborate and translate complex technical concepts into practical solutions. These skills and qualities are crucial for developing robust NLP models that deliver accurate, scalable, and user-friendly language-based applications.

What states have the most Natural Language Processing Nlp Engineer jobs?

States with the most job openings for Natural Language Processing Nlp Engineer jobs include:

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

For Natural Language Processing Nlp Engineer jobs, the most frequently searched job titles are:

Natural Language Processing Engineer

Washington, DC • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

Full-time

Re-posted 4 days ago

Job description

Role Summary:
The Natural Language Processing
(NLP) Engineer is responsible for
developing and implementing NLP
solutions to support the
company's projects.
Main Responsibilities and duties:
Develop and implement NLP
solutions.
Collaborate with the engineering
team to integrate NLP solutions
into projects.
Conduct research on NLP
technologies and trends.
Stay updated on the latest NLP
technologies and trends.
Develop and implement
quantum-enhanced NLP
solutions. Collaborate with
quantum engineers to integrate
quantum technologies into NLP
projects.

Apply