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Nlp Practitioner Jobs in California (NOW HIRING)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Key ResponsibilitiesDesign, develop, and deploy predictive models, natural language processing (NLP ... Scrum Master, SAFe Practitioner)Ability to mentor junior data scientists and lead cross ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise, Inc.

Senior Data Scientist

San Diego, CA · On-site

... NLP), and optimization algorithms • Lead data ingestion, cleaning, transformation, and ... SAFe Practitioner) • Ability to mentor junior data scientists and lead cross-disciplinary ...

Slope

Analytics Engineer, Safety Systems

San Francisco, CA · On-site

$100 - $140/hr

Demonstrated prior experience in NLP, large language models, or generative AI. * Experience building data products used by a broad range of stakeholders, from technical practitioners to company ...

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Nlp Practitioner information

See California salary details

$41K

$128.6K

$197.4K

How much do nlp practitioner jobs pay per year?

As of Sep 4, 2026, the average yearly pay for nlp practitioner in California is $128,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $148,000.00 per year, depending on experience, location, and employer.

What is an NLP practitioner?

An NLP (Neuro-Linguistic Programming) Practitioner is a professional who uses NLP techniques to help individuals improve their mindset, communication, and personal development. They apply psychological strategies to reprogram limiting beliefs, enhance confidence, and facilitate behavioral change. NLP Practitioners often work as coaches, therapists, or consultants, assisting clients in achieving specific goals in areas like business, relationships, and personal growth.

What are the key skills and qualifications needed to thrive as an NLP practitioner?

To thrive as an NLP Practitioner, you need a strong understanding of neurolinguistic programming techniques, excellent interpersonal skills, and a relevant certification or formal training in NLP. Familiarity with tools such as coaching frameworks, assessment instruments, and accredited NLP training programs is also important. Strong active listening, empathy, and effective communication skills set outstanding practitioners apart in their ability to build rapport and foster positive client outcomes. These abilities are crucial for successfully guiding clients through personal development and behavioral change processes.

What are common challenges faced by NLP practitioners in their daily work?

One common challenge NLP Practitioners face is tailoring techniques to meet each client’s unique needs, as individuals respond differently to various interventions. Practitioners may also encounter clients who are initially skeptical or resistant, requiring patience and adaptive communication strategies. Balancing multiple clients, maintaining confidentiality, and staying updated with continuing education can also be demanding aspects of the role. However, overcoming these challenges is rewarding, as it leads to meaningful client progress and personal fulfillment.

Are NLP Practitioner certifications worth it?

NLP Practitioner certifications can enhance credibility and demonstrate foundational knowledge of neuro-linguistic programming techniques, which may benefit professionals in coaching, therapy, or personal development roles. However, their value depends on industry recognition and individual career goals, as practical experience and skills often weigh more in hiring decisions.

How much do NLP practitioners make?

NLP practitioners typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills in machine learning and programming can earn higher salaries.

What jobs can you get with NLP certification?

NLP practitioners can pursue roles such as natural language processing engineer, data scientist, machine learning engineer, or AI researcher. These jobs typically require skills in programming, data analysis, and familiarity with NLP tools like Python, TensorFlow, or spaCy.

What are the most commonly searched types of Nlp Practitioner jobs in California?

The most popular types of Nlp Practitioner jobs in California are:

What are popular job titles related to Nlp Practitioner jobs in California?

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

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

The top searched job categories for Nlp Practitioner jobs in California are:

What cities in California are hiring for Nlp Practitioner jobs?

Cities in California with the most Nlp Practitioner job openings:

Nlp Practitioner jobs near you
Infographic showing various Nlp Practitioner job openings in California as of August 2026, with employment types broken down into 2% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $128,589 per year, or $61.8 per hour.

Senior Product Marketing Manager - Data Processing

Nvidia

Santa Clara, CA

$142K - $186K/yr

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We want to welcome a marketing professional with a technical background to our product marketing team. In this role, you will guide data scientists, AI engineers and NLP engineers toward understanding the value of accelerated computing for a portfolio of unstructured data processing and decision optimization products. You will plan and advance strategic marketing campaigns that boost the adoption of NVIDIA's data processing software and hardware platforms. Are you familiar with the unstructured data processing and decision optimization ecosystems, their personas, and their workflows? Do you have insight into key use cases, segments, and frequently applied algorithms in targeted industries, such as financial services, retail/e-tail, and telecommunications? If so, this role might suit you well!

What you'll be doing:

  • Lead positioning, messaging and launches for unstructured data processing and decision optimization products

  • Drive content and messaging for executive keynotes

  • Capture practitioner feedback and test messaging through community activities such as live-streams, hackathons and meetups

  • Carry out ecosystem analysis to guide our positioning and assist campaigns that convey our key messages

  • Develop technical content including blogs and videos to support technical practitioners in using NVIDIA's SDKs

  • Develop presentations aimed at educating industry and business analysts and PR on our positioning and value proposition

What we need to see:

  • 8+ years' experience with launching, go-to-market and scaling technical product adoption for developers, data scientists, or operations research practitioners.

  • Bachelor's degree in a scientific or technical field (or equivalent experience).

  • Understanding of unstructured data processing or optimization and operations research environments

  • Familiarity with ML, vector search, or key solver technologies

  • Comfortable explaining Python code used in presentations, demos, and articles.

Ways to stand out from the crowd:

  • Clearly convey your comprehension of NVIDIA's approach and technology for data processing.

  • Background in NLP, AI/LLM Ops, operations research, logistics/routing, supply chain, or as a quantitative analyst

  • Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

  • Building and nurturing technical open source communities.

With highly competitive salaries and a full benefits package, NVIDIA is known as one of the technology world's most desirable employers. We employ some of the most hard-working and dedicated people worldwide. Our product marketing teams are growing quickly. If you're a creative and independent technical marketer passionate about technology, we want to hear from you. Join us and make a lasting impact!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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