ZipRecruiter

Log In

1

Machine Learning Natural Language Processing Jobs in Portland, OR

Deloitte

AI Data Engineer - Manager

Portland, OR · On-site

$121K - $145K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Intel

Machine Learning Engineer

Hillsboro, OR

Hands-on experience implementing and scaling the full **post-training pipeline** for language ... We do not charge any fees during our hiring process. Candidates should never be required to pay ...

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

... in deep learning, machine learning or other AI domains. * Work directly with other technical ... of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender ...

Trimble

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122K - $165K/yr

Architect automated processes and algorithms to cleanse and integrate massive datasets for high ... machine learning models. * Proficiency in Python and SQL for data manipulation and algorithm ...

next page

Showing results 1-20

All JobsMachine Learning Natural Language Processing JobsMachine Learning Natural Language Processing Jobs in Portland, OR

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 Jun 24, 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.

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.

What engineers make $500,000?

Senior machine learning engineers and natural language processing (NLP) specialists with extensive experience, advanced skills in deep learning frameworks, and strong industry demand can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on product development.

What is a Machine Learning Natural Language Processing (NLP) 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.

Which 3 jobs will survive AI?

For a Machine Learning Natural Language Processing professional, roles such as AI ethics specialists, data scientists, and machine learning engineers are expected to persist due to their focus on developing, managing, and overseeing AI systems. These jobs require advanced technical skills, domain expertise, and ongoing adaptation to new tools and algorithms, making them more resilient to automation.

What are the key skills and qualifications needed to thrive as a Machine Learning Natural Language Processing specialist, and why are they important?

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.

What is the role of machine learning in natural language processing?

In natural language processing (NLP), machine learning enables systems to automatically analyze, understand, and generate human language by training models on large datasets. Machine learning algorithms, such as neural networks and classifiers, are used to perform tasks like language translation, sentiment analysis, and speech recognition, making NLP applications more accurate and efficient. For a machine learning NLP role, knowledge of programming, data preprocessing, and relevant tools like Python and TensorFlow is essential.

What is the salary of NLP machine learning?

The salary for machine learning professionals specializing in natural language processing (NLP) typically ranges from $80,000 to $150,000 annually, depending on experience, location, and education. Entry-level roles may start lower, while experienced specialists or those with advanced skills in deep learning and NLP tools can earn higher salaries.
What are popular job titles related to Machine Learning Natural Language Processing jobs in Portland, OR? For Machine Learning Natural Language Processing jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Natural Language Processing jobs in Portland, OR look for? The top searched job categories for Machine Learning Natural Language Processing jobs in Portland, OR are:
Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in Portland, OR as of June 2026, with employment types broken down into 41% Full Time, 56% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $43,873 per year, or $21.1 per hour.
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Portland, OR • On-site

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

LI-SS2LI-REMOTE

Apply