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Internship Natural Language Processing Engineer Jobs

Docugami

Software Engineering Intern

Kirkland, WA · On-site

Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in ... During your internship, you will have the opportunity to be part of a growing engineering team ...

Docugami

Software Engineering Intern

Kirkland, WA · On-site

Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in ... During your internship, you will have the opportunity to be part of a growing engineering team ...

1872 Consulting

NLP Developer

Herndon, VA · On-site

Required : • 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing • Bachelor's Degree or higher in one of ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

The Hackett Group

NY · On-site

AI Developer As an Artificial Intelligence (AI) Developer, you will be responsible for designing ... Natural Language Processing (NLP) and Computer Vision: * Implement NLP techniques for text analysis ...

Pennant Solutions Group

$77K - $105K/yr

Engineering About the Role We are seeking an exceptional Senior Machine Learning Engineer to join ... on Natural Language Processing applications and robust MLOps practices. The ideal candidate will ...

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

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How much do internship natural language processing engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for internship natural language processing engineer in the United States is $22.18, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Internship Natural Language Processing Engineer vs Data Scientist Intern?

AspectInternship Natural Language Processing EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of NLPStatistics, programming, data analysis knowledge
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI and NLP-focused roles in tech industryData analysis across various industries

Internship Natural Language Processing Engineer roles focus on developing NLP models and algorithms, requiring knowledge of linguistics and machine learning. Data Scientist Intern positions involve analyzing large datasets to extract insights, often requiring statistical and programming skills. Both internships are common in tech companies but serve different functions within data and AI teams.

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Internship Natural Language Processing Engineer jobs near you
Infographic showing various Internship Natural Language Processing Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $46,141 per year, or $22.2 per hour.

Applied AI ML - Senior Associate - Healthcare

Seattle, WA • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$137K - $195K/yr

Full-time

Medical, Retirement

Posted 21 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


Are you passionate about harnessing the power of artificial intelligence and machine learning to solve real-world challenges? At JPMorganChase, we're transforming the way payments work in the Commercial & Investment Bank by leveraging cutting-edge document extraction and natural language processing (NLP) technologies. As a Vice President and Applied AI/ML Lead, you'll play a pivotal role in building innovative solutions that enhance trust, safety, and operational efficiency for one of the world's leading financial institutions.
As a Vice President, Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology in the Commercial & Investment Bank, you will lead the delivery of document extraction and natural language processing capabilities that improve trust, safety, and operational effectiveness. You will own solutions end-to-end, from problem framing and data strategy to production deployment and measurement. You will remain hands-on while setting technical direction and partnering across product, engineering, data, risk, and compliance stakeholders.
Job Responsibilities
  • Own end-to-end delivery of document extraction and natural language processing solutions, from opportunity sizing and requirements through production rollout and iteration.
  • Design scalable model pipelines for document ingestion, text extraction, classification, and ranking, balancing accuracy, latency, throughput, and cost.
  • Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents.
  • Define evaluation strategies and success metrics, including offline validation, error analysis, robustness testing, and controlled online measurement where appropriate.
  • Establish model lifecycle practices including reproducibility, testing, monitoring, drift detection, and incident response to sustain reliable production performance.
  • Partner with risk and compliance stakeholders to ensure appropriate documentation, controls, explainability expectations, and audit-ready processes.
  • Drive technical decisions through design reviews, code and model reviews, and pragmatic standards that raise quality and delivery velocity.
  • Communicate tradeoffs and recommendations to senior stakeholders, translating model behavior into decision-ready business impact.

Required Qualifications, Capabilities, and Skills
  • Formal training or certification on applied artificial intelligence and machine learning concepts and 3+ years applied experience
  • 3+ years of experience building and delivering applied machine learning or natural language processing solutions with measurable outcomes in production.
  • Strong programming skills in Python and experience using modern machine learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with document extraction and natural language processing techniques including text classification and information extraction.
  • Experience designing data-driven solutions using SQL and distributed processing tools such as Spark or equivalent.
  • Experience deploying and operating machine learning services or pipelines in a cloud environment such as Amazon Web Services (or equivalent).
  • Demonstrated ability to translate ambiguous business problems into structured machine learning plans, including data strategy, evaluation, rollout, and operationalization.
  • Strong communication and collaboration skills, including the ability to explain technical tradeoffs to technical and non-technical partners.

Preferred Qualifications, Capabilities, and Skills
  • Experience with optical character recognition and document understanding workflows for scanned or semi-structured documents.
  • Experience with modern natural language processing architectures such as transformer-based models and techniques for optimization and efficient inference.
  • Experience with machine learning operations practices and tooling, including model registries, continuous integration and delivery for machine learning, and observability.
  • Experience with real-time or event-driven architectures supporting low-latency inference and feature generation.
  • Experience applying document extraction or natural language processing in payments, financial services, or regulated environments.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
#LI-RB3
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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