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Natural Language Processing Engineer Jobs in California

DabKick

Speech Recognition Engineer

San Jose, CA

As a Speech Recognition Engineer , you will be responsible for consumer product design for our ... Experience in building speech recognition and natural language processing systems (e.g., commercial ...

Teklead Corp

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software Developer for the Artificial Intelligence team, work on Machine Learning, Natural Language Processing ...

OceanAI, LLC

Machine Learning Engineer

Sacramento, CA · On-site

Strong experience with deep learning and natural language processing * Hands-on experience with AI ... and engineering excellence to ship great products. Education & Experience Ph.D./M.S in computer ...

New

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

Job Title: AI/GenAI Engineer Job Location: Irvine, CA Job Type: Contract * Lead and conduct ... Design and implement machine learning deep learning natural language processing and computer vision ...

Google

Software Engineer, Android AI

Mountain View, CA · On-site

Experience in Natural Language Processing, Large Language Models, and Computer Vision. * Proficiency in one of the following programming languages: Python, Kotlin, or Java. About the job Google ...

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Natural Language Processing Engineer information

See California salary details

$48.9K

$90.8K

$140.6K

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

As of Sep 13, 2026, the average yearly pay for 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 does a natural language processing engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What does a typical day look like for a natural language processing engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

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

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

Are natural language processing engineers in demand?

Natural Language Processing (NLP) engineers are in high demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. They often require skills in programming, machine learning frameworks, and understanding of linguistics, with job growth expected to continue as AI applications expand.

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 Natural Language Processing Engineer jobs in California?

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

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

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

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

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

Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $90,813 per year, or $43.7 per hour.

Speech Recognition Engineer

San Jose, CA

DabKick
11 - 50 employees
Learn more about DabKickexternal

Full-time

Re-posted 5 hours ago

Key responsibilities

  • Design and develop speech recognition and natural language processing systems for consumer products.

  • Model techniques to improve spoken language understanding and advance the state of the art in speech technology.

  • Contribute to the development of products and services that utilize speech and language technology.

Job description

Company Description

A Cupertino Silicon Valley technology startup, with an ownership group track record of success (previous startup was sold to a tech giant), is looking for a Speech Recognition Engineer to assist in the development of their media application and tool. Opportunity to make an impactful contribution to a small team of experts who are developing Technology never done before. The app is already launched and available on multiple platforms with solid reviews. There is active interest and site visits from Fortune 25 Tech companies.

Job Description

Are you an A player looking for your next big role? Do you have the appetite for a start up? Do you have the passion and drive in working on complex projects within a fast-paced startup environment? Would you welcome the opportunity to be one of the first 10 on the core development team? If yes, then DabKick is looking to speak with you!

As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. To be successful, you need to be highly motivated and detailed oriented while showing highest standards of responsibilities. We are looking for candidates who strive in a fast paced start-up like environment.

Qualifications

  • Familiarity with programming languages such as C/C++, Python, Java or Perl.

  • Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects)

  • Solid Machine Learning background and familiar with standard speech and machine learning techniques.

  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

  • Solid software development experience

  • Good written and spoken communication skills.

    Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning

    Understanding of high speed design and noise suppression techniques

    Hands on experience with signal integrity tools

    Experience in designing products for wireless networks (GSM, UMTS, LTE), GPS, WiFi and Bluetooth wireless systems

    Strong communication and documentation skills including skills to manage without authorit

    Solid Machine Learning background and familiar with standard speech and machine learning techniques.

    Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

Additional Information

All your information will be kept confidential according to EEO guidelines.

*We are unable to sponsor or relocate at this time



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