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Natural Language Processing Jobs in Raleigh, NC (NOW HIRING)

Pennymac

Senior AI Engineer (AI / ML Solutions)

Cary, NC · On-site

$110K - $170K/yr

This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing ( NLP ), computer vision, AWS and GCP cloud technologies, and MLOps ...

Truist

Data Scientist II

Raleigh, NC

... natural language processing) in a variety of environments using structured and unstructured data. 2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide ...

Directsupply

Staff Software Engineer

Durham, NC

Technical expertise in AI integration across natural language processing, computer vision, and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first development ...

Google

Software Engineer AI/ML Networking

Raleigh, NC · On-site

... natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities ...

TEKsystems

Principal AI Engineer

Raleigh, NC · On-site +1

$75 - $100/hr

Preferred Skills: • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). • Knowledge of natural language processing (NLP) techniques. • Familiarity with version control systems (e ...

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

Familiarity with SAS, machine learning, and natural language processing is desirable but not required. * Background in biostatistics or related quantitative disciplines. * Knowledge of Good Clinical ...

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

... natural language processing Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

Familiarity with SAS, machine learning, and natural language processing is desirable but not required. * Background in biostatistics or related quantitative disciplines. * Knowledge of Good Clinical ...

Momentus

Product Manager (Accounting tool)

Cary, NC · On-site

Drive the execution of all processes in the product lifecycle, leveraging AI tools for market ... natural language interfaces, and AI-assisted reconciliation * Partner with engineering and design ...

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How much do natural language processing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for natural language processing in Raleigh, NC is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $28.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the most commonly searched types of Natural Language Processing jobs in Raleigh, NC? The most popular types of Natural Language Processing jobs in Raleigh, NC are:
What are popular job titles related to Natural Language Processing jobs in Raleigh, NC? For Natural Language Processing jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Raleigh, NC look for? The top searched job categories for Natural Language Processing jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Natural Language Processing jobs? Cities near Raleigh, NC with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Raleigh, NC as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $51,450 per year, or $24.7 per hour.
Senior AI Engineer (AI / ML Solutions)

Senior AI Engineer (AI / ML Solutions)

Pennymac

Cary, NC • On-site

$110K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

PENNYMAC
Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market.
At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey.
A Typical Day
We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI ( Artificial Intelligence ) technologies and ML ( Machine Learning ) models to deploy best-in-class tools for Pennymac's employees and customers.
This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers.
Responsibilities
  • Design and implement AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment.
  • Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable cloud infrastructure for AI/ML workloads.
  • Develop and optimize high-performance machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and spaCy for predictive analytics and NLP.
  • Implement and manage MLOps practices to ensure efficient model development, deployment, monitoring, and retraining within the IDP pipeline.
  • Demonstrate proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs).
  • Design and implement robust data pipelines for efficient data ingestion, preprocessing, and feature engineering.
  • Identify and resolve performance and scalability issues in models and infrastructure to improve the accuracy and efficiency of tools in production.
  • Collaborate with cross-functional teams (e.g., product management, data science, software engineering) to deliver impactful solutions that meet business requirements.
  • Participate in code reviews and provide technical guidance to peers on best practices and latest technology trends.
  • Work with DevOps teams to ensure continuous delivery of the product using agile methodology.
  • Stay abreast of the latest advancements in AI/ML, NLP, computer vision, and cloud technologies to evaluate new techniques that enhance our AI solutions.
  • Utilize coding assistants such as Cursor, Copilot in the day to day development of products

What You'll Bring
  • Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of experience in a Platform Engineering or high-scale Backend role, with a focus on building resilient, distributed systems.
  • 3+ years of hands-on experience developing with Large Language Models (LLMs) and designing sophisticated agentic workflows.
  • Extensive experience navigating both Amazon Web Services (AWS) and Google Cloud Platform (GCP), specifically their respective AI and data ecosystems.
  • Deep proficiency in Python and its scientific stack (e.g., PyTorch, TensorFlow, spaCy) for developing high-performance machine learning applications.
  • Must have experience with AI Coding Assistants, specifically Cursor, Copilot or Devin, this is a core requirement for every member of our technical team who writes code.
  • Exceptional troubleshooting skills with a track record of identifying and resolving bottlenecks in complex AI infrastructure.
  • Proven ability to mentor engineering peers, fostering a culture of technical excellence and continuous growth.
  • Strong communication and collaboration skills

Preferred Skills
  • FinTech or Mortgage Domain knowledge.
  • Experience in Evaluation Driven Development.
  • Experience in Agile/SCRUM using Jira.
  • Experience with feature flagging and service/API semantic versioning.
  • Experience building and maintaining effective relationships with product managers, architects, technical leads, and business stakeholders.

Why You Should Join
As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do.
Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported.
Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include:
  • Comprehensive Medical, Dental, and Vision
  • Paid Time Off Programs including vacation, holidays, illness, and parental leave
  • Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
  • Retirement benefits, life insurance, 401k match, and tuition reimbursement
  • Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships
  • We value the hard work and dedication of our employees. In addition to a competitive salary, positions may offer bonus opportunities.

To learn more about our benefits visit:
https://pennymacnews.page.link/benefits
For residents with state required benefit information, additional information can be found at: https://www.pennymac.com/additional-benefits-information
Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:
  • Lower in range - Building skills and experience in the role
  • Mid-range - Experience and skills align with proficiency in the role
  • Higher in range - Experience and skills add value above typical requirements of the role

Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance.
Salary
$110,000 - $170,000
Work Model
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