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Machine Learning Natural Language Processing Jobs in Portland, OR

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 ...

Procom Services

211854 / Data Analyst

Hillsboro, OR · On-site

Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level optimization * Supply management and procurement * Measuring and tracking efficiency indicators ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and procurement Measuring and tracking efficiency indicators Data ...

Heritage Specialty Group

Machine Operator

Milwaukie, OR · On-site

$19 - $21/hr

... learning the machine's interface fluently and the general well-being of the machine itself ... Ensure product quality is met throughout the filling process. * Accurately completes and maintains ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... machine learning for Nike; analyze and profile data to uncover insights in support of scalable ... interview process including screen readers, sign language interpreters, accessible and single ...

Varsity Tutors

Lovable Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Vibe Coding Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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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 Jul 15, 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 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.

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 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
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA • On-site, Remote

$155K - $190K/yr

Full-time

Re-posted 18 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases

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