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Remote Natural Language Processing Engineer Jobs in California

Senior Machine Learning Engineer, Proactive

Santa Clara, CA ยท On-site +1

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

You'll work at the intersection of search, retrieval, natural language processing, on-device AI ... You'll partner with engineers, researchers, product managers, and designers to bring new AI ...

NLP Engineer

San Diego, CA ยท Remote

$72K - $130K/yr

  • Retirement

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr ...

Senior AI Engineer

Sunnyvale, CA ยท On-site +1

$139K - $229K/yr

LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who ... natural language processing Preferred Qualifications * 4+ years of relevant machine learning ...

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Previous industry experience working on natural language processing, language modeling, etc ... LI-SS2 LI-REMOTE

... or natural language processing * Proven track record of planning a multi-year roadmap in which ... engineers across organizations At Figma, one of our values is Grow as you go. We believe in hiring ...

Platform Engineer, Model Shaping

San Francisco, CA ยท On-site +1

$200K - $290K/yr

  • Medical

... natural language processing, and ML systems. As a Platform Engineer in Model Shaping, you will work ... remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our ...

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Showing results 1-20

Remote Natural Language Processing Engineer information

See California salary details

$48.9K

$90.8K

$140.6K

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

As of Aug 13, 2026, the average yearly pay for remote natural language processing engineer in California is $90,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $101,700.00 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?

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 the most commonly searched types of Natural Language Processing Engineer jobs in California?

The most popular types of Natural Language Processing Engineer jobs in California are:

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

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

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

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

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

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

Infographic showing various Remote Natural Language Processing Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 2% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $90,813 per year, or $43.7 per hour.

Staff Machine Learning Engineer, Applied Research

Pinterest

San Francisco, CA โ€ข On-site, Remote

$241K/yr

Full-time

Posted 11 days ago


Job description

At Pinterest Labs, you'll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems.

What you'll do:

  • Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and planning agent
  • Collect, analyze, and synthesize findings from data and build intelligent data-driven model
  • Write clean, efficient, and sustainable code
  • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search
  • Scope and independently solve moderately complex problems

What we're looking for:

  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • 6+ years of industry experience
  • Experience in machine learning/information retrievalย 
  • Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Experience in research and in solving analytical problems
  • Cross-functional collaborator and strong communicator
  • Comfortable solving ambiguous problems and adapting to a dynamic environment

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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