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Natural Language Processing Jobs in California (NOW HIRING)

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · Hybrid

$68 - $78/hr

Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. Learn new technologies and focus on what you're passionate about. Requirements :: 2+ years experience with ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

Apple

AIML - Machine Learning Research

Cupertino, CA · On-site

$181K - $318K/yr

Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem. Description ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction ...

Apple

AIML - Machine Learning Research

Cupertino, CA · On-site

$181K - $318K/yr

Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem. Description ...

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$13

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How much do natural language processing jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for natural language processing in California is $25.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $29.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

Will AI replace NLP?

As a natural language processing (NLP) professional, AI is a tool that enhances NLP capabilities rather than replacing the field entirely. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and fine-tuning these systems. NLP specialists are expected to adapt and work alongside AI technologies to create more accurate and context-aware language models.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What jobs are there in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, Computational Linguist, and Research Scientist. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with tools like Python, TensorFlow, or spaCy to develop language models and algorithms.

Is NLP a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.
What are the most commonly searched types of Natural Language Processing jobs in California? The most popular types of Natural Language Processing jobs in California are:
What are popular job titles related to Natural Language Processing jobs in California? For Natural Language Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in California look for? The top searched job categories for Natural Language Processing jobs in California are:
What cities in California are hiring for Natural Language Processing jobs? Cities in California with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in California as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $52,292 per year, or $25.1 per hour.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Meta

Menlo Park, CA

Internship

Posted 15 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

121st of 190 rated software companies

Job description

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities:
  • Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research reports and/or publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
  • Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
  • Experience in Python, C++, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
  • Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
  • Experience advancing AI techniques in Computer Vision and/or Machine Learning
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to degree-program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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