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Machine Learning Natural Language Processing Jobs in Portland, OR

AI Solution Engineer

Vancouver, WA · On-site

$130K - $205K/yr

Experience with Natural Language Processing (NLP) and machine learning technologies. * Experience building cloud-native solutions using Azure, AWS, or Google Cloud. * Experience with data pipelines ...

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

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Machine Learning Natural Language Processing information

See Portland, OR salary details

$15

$21

$28

How much do machine learning natural language processing jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning natural language processing in Portland, OR is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $22.93 per hour, depending on experience, location, and employer.

What is a machine learning natural language processing specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.

What are the key skills and qualifications needed to thrive as a machine learning natural language processing specialist?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

How do professionals in machine learning natural language processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.
Infographic showing various Machine Learning Natural Language Processing job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $43,873 per year, or $21.1 per hour.

Principal Engineer, AI Applied Research

Hillsboro, OR • On-site

Intel Corporation
Manufacturing • 10K+ employees

$250/hr

Other

Medical, Retirement, PTO

Posted 5 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 162 rated electronics manufacturers


Job description

Job Details

Job Description: Business group This role is part of Intel's advanced research and engineering organization, focused on pioneering AI solutions that enable Intel's technologies to remain at the forefront of innovation. The team collaborates across disciplines to solve complex challenges, push boundaries in AI development, and deliver transformative technologies that empower customers and advance Intel's mission of driving global innovation.

The Role and Impact

As a Principal Engineer in AI Applied Research, you will lead the development and implementation of cutting-edge AI models to address high-value business challenges. Your work will span the full research cycle, from exploring academic literature to creating production-ready solutions. By delivering innovative AI methods and tools, you will shape technical direction and drive impact across Intel and the broader industry.

Key Responsibilities
  • Conduct applied research to design and implement innovative AI models, including machine learning, deep learning, reinforcement learning, natural language processing, computer vision, and other areas.
  • Perform literature reviews, technical assessments, and foundational research to identify opportunities and inform technical strategy.
  • Develop proof-of-concept models and transition them to production-ready solutions that address business-critical challenges.
  • Provide technical leadership and mentorship to other engineers and researchers, fostering an environment of collaboration and growth.
  • Align organizational goals with technical vision and formulate strategic approaches to deliver leadership solutions in AI.
  • Act as a change agent to drive technical excellence and innovation across Intel and the industry.
Required Skills and Experience
  • 3yrs+ of power and performance prediction of IPs, preferably memory and logic Foundational IPs.
  • 3yrs+ Proficiency in Python and advanced programming skills applied to AI and ML model development.
  • 5yrs+ In-depth knowledge of AI fundamentals, including experience developing machine learning, deep learning, reinforcement learning, natural language processing, computer vision, or time-series prediction models.
  • 5yrs+ Proven experience with algorithm research and development, ML model evaluation, training, monitoring, and deployment processes.
Preferred Skills and Experience
  • Design and Technology Co-optimization knowledge
  • Demonstrated track record of turning nebulous ideas into big tangible benefits.
  • Track record of coaching and mentoring technical leaders and building collaborative research communities.
  • Demonstrated ability to align technical strategies with business goals and drive impactful execution.
  • Experience with prototyping, proof-of-concept designs, and systems thinking to address complex challenges.
  • Expertise in technical documentation and communication of research findings to diverse stakeholders.
  • Innovation-driven mindset and a commitment to disciplined execution in bringing technologies to market.
  • Working knowledge of developing AI Agents.
Qualifications

PhD in a STEM field with special focus on Foundational IP development 10+ years of experience.

Job Type

Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Benefits
  • We offer a total compensation package that ranks among the best in the industry.
  • It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
  • Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US

$255,850.00-361,200.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence.

Job posting details (such as work model, location or time type) are subject to change.

  • ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.
  • We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment.
  • If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
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What Intel employees say

Pay

Benefits

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968