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Nlu Jobs in California (NOW HIRING)

Chatbots, NLU, agent assist, coaching tools * Data & Reporting: KPI dashboards, WEM analytics * Integration: API-driven workflows, real-time data sync * Security: Identity, compliance, and encryption ...

Prompt Engineer Lead / Architect

Sunnyvale, CA · On-site

$65.75 - $90/hr

Experience: 10+ years in the AI stack, ranging from classical NLP/NLU to modern generative AI architectures. Education: B.Tech in Computer Science, Mathematics, or a related technical field.

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Showing results 1-20

Nlu information

See California salary details

$54.3K

$97.9K

$133.7K

How much do nlu jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nlu in California is $97,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $107,100.00 per year, depending on experience, location, and employer.

What is the difference between Nlu vs Data Scientist?

AspectNluData Scientist
Required credentialsDegree in Computer Science, Linguistics, or related fields; knowledge of NLP toolsDegree in Computer Science, Statistics, or related fields; strong programming skills
Work environmentTech companies, AI startups, NLP-focused teamsVarious industries including tech, finance, healthcare, analyzing data for insights
Employer and industry usageUsed in companies developing chatbots, voice assistants, NLP applicationsUsed across industries for data analysis, predictive modeling, and decision-making

While Nlu specialists focus on developing and implementing natural language understanding systems, Data Scientists analyze large datasets to extract insights and build predictive models. Both roles require strong technical skills, but Nlu is more specialized in language processing, whereas Data Scientists have a broader focus on data analysis across various domains.

What are common challenges faced by NLU engineers when working with multilingual datasets?

NLU engineers often encounter challenges such as handling language-specific nuances, dialects, and idiomatic expressions when working with multilingual datasets. Ensuring accurate intent recognition and entity extraction across different languages requires robust preprocessing and often the development of language-specific models or resources. Collaboration with linguists and leveraging transfer learning techniques are common strategies used to address these complexities. Additionally, maintaining consistency in data labeling and evaluation metrics across languages is crucial for building reliable NLU systems.

What is an NLU?

NLUs, or Natural Language Understanding specialists, are professionals who design and develop systems that enable computers to understand human language. Their work involves creating algorithms and models to interpret text or speech, extract meaning, and facilitate natural interactions between humans and machines. NLUs often work in fields like artificial intelligence, machine learning, and computational linguistics, contributing to products such as chatbots, virtual assistants, and automated translation services. They typically have expertise in linguistics, programming, and data analysis.

What are the key skills and qualifications needed to thrive as an NLU engineer?

To thrive as an NLU Engineer, you need a solid background in computational linguistics, machine learning, and programming (often with Python), typically supported by a degree in computer science or a related field. Familiarity with NLP libraries (such as spaCy, NLTK, or Hugging Face), experience with deep learning frameworks (like TensorFlow or PyTorch), and understanding of cloud platforms are standard technical requirements. Strong problem-solving skills, attention to detail, and the ability to collaborate cross-functionally help set top performers apart. These skills are essential to developing accurate, robust language models and solutions that power real-world conversational AI applications.
Infographic showing various Nlu job openings in California as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $97,931 per year, or $47.1 per hour.

Principal Applied Scientist, Console Science

Amazon

Santa Clara, CA • On-site

Full-time

Re-posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,069 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are looking for passionate, talented, and inventive Principal Applied Scientist with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).
As part of our team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology

You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.
We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.
A day in the life
The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US