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Remote Natural Language Processing Engineer Jobs in California

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

... language processing, representation learning, and protein engineering. You should be a self ... PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language ...

LinkedIn

Staff AI Engineer

Sunnyvale, CA · On-site +1

As a Staff Engineer at LinkedIn, you will be responsible for the development and training of ... natural language processing Preferred Qualifications: * 6+ years of relevant machine learning ...

LinkedIn

Staff AI Engineer

Sunnyvale, CA · On-site +1

$170K - $277K/yr

As a Staff Engineer at LinkedIn, you will be responsible for the development and training of ... natural language processing Preferred Qualifications: * 6+ years of relevant machine learning ...

Augment CXM

Lead Product Designer

San Francisco, CA · On-site +1

$182K - $224K/yr

Our products apply the latest techniques in natural language processing inside of modern consumer ... remote). Augment is an equal opportunity employer and values diversity at our company. We do not ...

Pryon

Solutions Architect

San Francisco, CA · Remote

$160K - $180K/yr

Our proprietary, cutting-edge natural language processing capabilities transform unstructured data ... Drive technical alignment across sales, engineering, and product teams throughout the solution ...

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

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 Jul 24, 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, 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 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:
Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in California as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,813 per year, or $43.7 per hour.

Machine Learning Scientist, BioML

Profluent

Emeryville, CA • On-site, Remote

$200K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Responsibilities
  • Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data
  • Leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design
  • Curate relevant datasets and design tasks for rigorous evaluation of generative models
  • Collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation
  • Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
  • Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications
  • PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
  • Experience with conceiving of, implementing, and evaluating novel machine learning techniques at the intersection with biology
  • Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences
  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations
  • 3 to 5 years of industry experience

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$200,000-$330,000 USD

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