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Remote Natural Language Processing Engineer Jobs in Oregon

Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Feature engineering and model evaluation techniques * Experience working with cloud platforms such ...

Senior Business Intelligence Analytics Engineer

OR ยท On-site +1

$51 - $66.25/hr

... natural language querying through tools like Snowflake Cortex Analyst. You'll raise the bar on data ... Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading ...

Associate Conversational AI Designer

OR ยท On-site +1

$60K - $95K/yr

... Engineering. You may also work directly with customers to get alignment on our overall solution ... General knowledge of Conversational AI and natural language processing models. * Background in ...

Senior Engineer Job Location: Remote Travel Expectations: 25% Job Classification: Full-Time, ... You'll be creating the natural language instructions that make AI agents effective at solving ...

This role may be hybrid or fully remote, with a strong preference for candidates located in North ... Familiarity with SAS, machine learning, and natural language processing is desirable but not ...

... Natural Language Technology (NLT) and Artificial General Intelligence (AGI) solutions for CCV ... Remote #LI-MV1 #Senior Employment Type: OTHER

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Showing results 1-20

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 Jul 14, 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 are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Engineer, and why are they important?

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.

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 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.

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 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:
Infographic showing various Remote Natural Language Processing Engineer job openings in Oregon as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,289 per year, or $46.8 per hour.
Machine Learning (ML) Engineer

Machine Learning (ML) Engineer

Vectara

OR โ€ข On-site, Remote

Other

Medical, Dental, Vision, PTO

Re-posted 9 days ago


Job description

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants withย Accuracy, Security, and Explainabilityย like no other solution. Our enterprise RAG Platform offers unparalleledย Accuracy, Security, and Explainabilityย by leveraging the strongest models forย retrieval, embedding, reranking, a optimizedย LLM trained for quality, and advancedย Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that isย production ready. These innovations have been cited in theย New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing.

Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.

Job responsibilitiesย 

  • Design, prototype, research and build AI systems for Vectara.
  • Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs).ย 
  • Improve the quality of Vectara's AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction.
  • Publish technical blogs, papers, and patents.ย 

Requirements:

  • BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.ย 
  • 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.
  • Strong domain knowledge in at least one of the following: RAG, LLM, informationย retrieval, Multimodal LLMs.
  • Excellent programming skills in Python.ย Proficiency in data/ML libraries such as pandas, transformers, and torch.
  • Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE).
  • Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.

Preferred requirements:

  • PhD in Computer Science/Engineering with 1+ years of industry experience.ย 
  • Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author.ย 
  • Experience as an ML engineer in an early-stage, high growth environment.ย 
  • Expertise in the following areas:
    • Embedding models, rerankers
    • Multimodal retrieval, question answering, and reasoning
    • Vector databases, BM25
    • Planning and reasoning in LLMs
    • Multilinguality in LLMs
    • NLG Evaluation such as hallucination detection

Location requirements:ย  We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred.ย 

Equity and Salary Range:ย 

Salary is just one component of Vectara's employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn't highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.

Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.ย  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture-we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.ย ย 

Perks and Benefits:

100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.ย