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Nlu Jobs in California (NOW HIRING)

interface.ai

Sales Engineer

San Francisco, CA · On-site

... AI and NLU concepts -- intent recognition, confidence thresholds, fallback design, model retraining -- and the ability to speak credibly to these topics with both technical and non-technical ...

interface.ai

Sales Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Deep technical fluency in AI and NLU concepts - intent recognition, confidence thresholds, fallback design, model retraining - and the ability to speak credibly to these topics with both technical ...

Apple

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

... NLU systems a strong asset. Experience as a senior engineer, tech lead, or engineering manager for a machine learning-based product, including mentoring other engineers, working with program and ...

interface.ai

Solutions Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

Deep understanding of conversational AI and NLU architecture - can speak credibly to intent routing, confidence thresholds, fallback logic, session management, and model improvement pipelines in both ...

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All JobsNlu JobsNlu Jobs in California

Nlu information

See California salary details

$54.3K

$97.9K

$133.7K

How much do nlu jobs pay per year?

As of Sep 2, 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 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.

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 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 popular job titles related to Nlu jobs in California?

For Nlu jobs in California, the most frequently searched job titles are:

What job categories do people searching Nlu jobs in California look for?

The top searched job categories for Nlu jobs in California are:

Nlu jobs near you
Infographic showing various Nlu job openings in California as of August 2026, with employment types broken down into 76% Full Time, 13% Part Time, and 11% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $97,931 per year, or $47.1 per hour.

Director of AI Software and Service Quality Assurance

Omega Solutions, Inc.

Mountain View, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Omega Solutions, Inc. is working towards a vision of a unified AI experience across multiple devices. They are seeking a visionary leader to join as an Engineering Director, leading the AI software and service quality assurance team, managing a talented group of engineers and ensuring high-quality deployments and processes.
Responsibilities:
• Lead, manage and grow a team of highly talented device, software, and continuous service quality assurance engineers.
• Collaborate with your counterparts in HQ (Korea) and other regions to manage release quality deployments and processes across systems and teams.
• Provide technical leadership in architecting and streamlining AI service quality testing and release processes.
• Lead technical design discussions to build efficient end-to-end device testing scenarios and methodologies.
• Collaborate with AI/Client/NLU counterparts and integrate relevant metrics into the quality assurance processes.
• Collaborate with the DevOps and Engineering to define platform requirements and address real-time quality issues.
• Inspire and mentor engineers and foster a culture of collaboration and employee growth.
• Ensure that the right culture, processes, and technology investments are in place for future product launches.
Qualifications:
Required:
• Bachelor's degree in Computer Science / MS or equivalent combination of education, training, and experience
• 10+ years of relevant experience in advanced technology management as a software leader building teams and leading organizations through product delivery and commercialization on time and on budget
• Experience leading, mentoring, and inspiring a large consumer technology software organization
• Technical experience and understanding of end-to-end hardware device and software service quality assurance
• Experience in AI/machine learning systems and services
• Experience initiating and driving projects to completion with minimal guidance, communicating insights and ideas across organizations
• Hands-on leader with experience going into the details for software architecture and design
• Leadership and familiarity of products with cross-functional technical components
• Understanding of product development processes and proven experience moving from strategy to execution, delivering results
Company:
Omega was incorporated in 2007 in the State of California to offer high end IT Solutions ranging from IT Software and product development to technology deployment and specialize in providing software solutions to diverse business sectors in USA and World-wide. Founded in 2007, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.

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