ZipRecruiter

Log In

2

Remote Natural Language Processing Engineer Jobs in Oregon

Smarsh

Lead Data Scientist

OR · On-site +1

You'll work on highly specialized problems at the intersection of natural language processing ... Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object ...

Nvidia

Senior Research Engineer - Enterprise Products

OR · On-site +1

$104K - $143K/yr

... Natural Language Processing, or Speech Recognition. Empirical research mindset: forming hypotheses ... A history of mentoring junior engineers and interns is a huge plus. A desire to constantly grow and ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$466K - $750K/yr

... natural language processing, and computational advertising. We are seeking exceptional individuals ... Strong software engineering skills. Required: Python, TensorFlow, PyTorch Nice to have: Java, Scala ...

Nvidia

Senior Developer Technology Engineer - AI

OR · On-site +1

$54.50 - $72/hr

... Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI ... from Natural Language Processing, Computer Vision, Recommender Systems, etc. Excellent ...

New

Smarsh

Solutions Engineer

OR · On-site +1

$130K - $170K/yr

Understanding of Artificial Intelligence, Natural Language Processing, Machine Learning or Data ... engineering and customer success teams, soliciting input when/as required. * Superb verbal and ...

G-P

Fullstack AI Engineer

OR · On-site +1

$117K - $147K/yr

About this Position We are looking for a Fullstack AI Engineer who is passionate about building ... Knowledge of natural language processing for legal or business applications is a plus. * Experience ...

FullSight Technology

Director, Software Engineering

OR · On-site +1

$252K/yr

... natural language processing systems and front end user experience. Responsible for leading large ... Director of Engineering - Applications - Responsible for our internal and external facing ...

NewRocket

Agentic AI Architect-Anthropic-US West

OR · On-site +1

$63 - $83/hr

... analytics, natural language processing, retrieval-augmented generation (RAG), intelligent ... Generative AI, Anthropic & LLM Engineering * Design and implement enterprise generative AI ...

G-P

Global HR Content Writer

OR · On-site +1

$106K - $133K/yr

Deep understanding of Generative Engine Optimization (GEO) tactics, semantic search, NLP (Natural Language Processing) friendly formatting, and traditional SEO. * Extreme Attention to Detail: You are ...

Arbital Health

AI Engineer

OR · On-site +1

$155K - $180K/yr

... in natural language and visualize it on demand. The 1st AI-powered platform built for VBC by ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...

Varsity Tutors

Vibe Coding Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... non-programmers building first applications through developers integrating AI into existing ...

next page

Showing results 1-20

All JobsNatural Language Processing Engineer JobsRemote Natural Language Processing Engineer JobsRemote Natural Language Processing Engineer Jobs in Oregon

Remote Natural Language Processing Engineer information

See Oregon salary details

$52.3K

$97.3K

$150.7K

How much do remote natural language processing engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote natural language processing engineer in Oregon is $97,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $108,900.00 per year, depending on experience, location, and employer.

What does a remote natural language processing engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

What are the key skills and qualifications needed to thrive as a remote natural language processing engineer?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

How do remote natural language processing engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.

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

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What are popular job titles related to Remote Natural Language Processing Engineer jobs in Oregon?

For Remote Natural Language Processing Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Natural Language Processing Engineer jobs in Oregon look for?

The top searched job categories for Remote Natural Language Processing Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Natural Language Processing Engineer jobs?

Cities in Oregon with the most Remote Natural Language Processing Engineer job openings:

Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in Oregon as of July 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,289 per year, or $46.8 per hour.

Lead Data Scientist

Smarsh

OR • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
$180,000 - $200,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
apply for this job

Apply