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Natural Language Processing Engineer Jobs in California

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 ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

Apple

Sr Software Engineer, Proactive

Santa Clara, CA · On-site

$143K - $189K/yr

As part of this group, you'll work with our machine learning, natural language processing, and ... BS in Computer Science or Software Engineering, or equivalent proven experience. 4+ years of iOS ...

Sanas

Senior Software Engineer

Palo Alto, CA · On-site

$144K - $190K/yr

Required : • Bachelor's in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning, Deep Learning, Natural Language Processing, or Speech Processing and 2 ...

Forhyre

Prompt Engineers

Los Angeles, CA

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

Forhyre

Prompt Engineers

Sunnyvale, CA

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

Forhyre

Prompt Engineers

San Francisco, CA

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

PROPRIUS

AI Research Engineer

San Francisco, CA

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... to natural language processing. Experience with using modern frameworks such as Tensorflow.

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

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 Jun 16, 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 is the salary of an NLP engineer?

The salary of a Natural Language Processing (NLP) engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with proficiency in tools like Python, TensorFlow, or PyTorch.

Is ML a high paying job?

A career as a Natural Language Processing Engineer, which involves machine learning (ML), is generally considered high paying due to the specialized skills required, such as programming in Python, understanding of deep learning frameworks, and experience with large datasets. Salaries tend to be above average in the tech industry, especially with experience, advanced degrees, and proficiency in tools like TensorFlow or PyTorch.

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

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.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like machine learning or natural language processing can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in certain industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech firms or startups with high growth potential.

What does a natural language processing engineer do?

A natural language processing (NLP) engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with techniques such as machine learning, deep learning, and linguistic analysis, often using tools like Python and libraries like TensorFlow or PyTorch, to build applications like chatbots, language translation, and sentiment analysis.
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 June 2026, with employment types broken down into 56% Full Time, 40% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $90,813 per year, or $43.7 per hour.
Sr Chatbot Engineer

Sr Chatbot Engineer

Teklead Corp

Westlake Village, CA • Hybrid

$68 - $78/hr

Full-time

Posted 23 days ago

Job description

US CITIZENS & PERMANENT RESIDENTS ONLY
Excellent contract-to-hire job opportunity
Looking for a Sr. Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a collaborative environment where talent is valued and creativity is encouraged.
Description:
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 Chatbot and RAG Application Development
2+ years experience with Machine Learning and Natural Language Processing
4+ years experience with Python
Experience with AWS services.
Experience with SQL.
Compiler development experience is plus
Experience with chat platforms Dialogflow, Connect-Q, etc is a plus
Experience with Hybrid RAG Agents, Trainable LLMs is a plus
BS in Computer Science or equivalent degree (MS in ML is preferred)..
Ability to work in an agile collaborative environment.
Excellent communication skills are required.