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Remote Natural Language Processing Engineer Jobs in California

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Feature engineering and model evaluation techniques * Experience working with cloud platforms such ...

... language processing, representation learning, and protein engineering. You should be a self ... PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language ...

$100K - $190K/yr

Natural language processing or reinforcement learning. * Operating system internals and distributed ... Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ...

Our engineering team supports multiple hospitals, commercial real estate, and other enterprise ... Natural Language Processing, Transformers, Deep Convolutional Neural Networks. * Sound Source ...

Showing results 41-60

Remote Natural Language Processing Engineer information

See California salary details

$48.9K

$90.8K

$140.6K

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

As of Sep 5, 2026, the average yearly pay for remote 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 remote natural language processing engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

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

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

How do remote natural language processing engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.

What is the difference between Remote Natural Language Processing Engineer vs Remote Data Scientist?

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

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 Remote Natural Language Processing Engineer jobs in California?

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

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

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

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

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

Infographic showing various Remote 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.

Machine Learning Engineer II (Intern) - United States

Cisco

San Francisco, CA • On-site, Remote

$44K - $130K/yr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Cisco Systems rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

47th of 161 rated electronics manufacturers


Job description

The application window is expected to close on: 09/04/2026

This role may be eligible for remote work in theUnited Statesdepending on business needs and hiring manager approval.


Meet the Team

Join our innovative engineering team focused on building next-generation AI/ML solutions.You'llcollaborate with skilled colleagues acrossplatform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation.

Your Impact

Dive into the development and implementation ofcutting-edgegenerative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machineperception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment.

Collaboration is at the heart of this role-workalongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation withnew technologiesand ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact!

Minimum Qualifications

  • Currently enrolled in one of the following:

-An undergraduate degree program(Associate's or Bachelor's)with 2 years of work experience; or

-A Master's degree programwith 0 years of work experience.

- Qualifying education and workexperience should be inComputer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram

- Expected to continue enrollment in degree program following completion of the internship.

  • Backend development skills in Go or Python,demonstratedthrough a technical assessment, coding challenge, or code sample.

  • Understanding ofLLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation.

  • Practical experience with model building and AI or LLM tasks,evidencedby a portfolio, code samples, technical evaluation, or academic/research project documentation.

Preferred Qualifications

  • Experience with inference engines such asvLLM, Triton, orTorchServe.

  • Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models.

  • Familiarity with agent frameworks and cloud-native platforms.

  • Experience with cybersecurity principles and Python programming, including common AI libraries.

  • Exposure toscalable computing environments and best practices for secure, efficient AI deployment.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $44,000.00 to $130,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$44,000.00 - $185,000.00

Non-Metro New York state & Washington state:

$44,000.00 - $185,000.00

* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.


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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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