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Nlp Engineer Jobs in San Ramon, CA (NOW HIRING)

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to ...

Institute of Foundation Models

Data Engineer

Sunnyvale, CA · On-site

$150K - $450K/yr

The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150 - $250/hr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

Max AI, Inc.

AI Engineer

San Francisco, CA

$150K - $250K/yr

AI Engineer Responsibilities * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Neural networks, NLP * Python / R / SQL * Tensor Flow / Keras / PyTorch * Cloud platforms and technologies (MS Azure) * DevOps / MLOps Drishticon is an Equal Opportunity Employer committed to ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Your Role As an AI Agent Engineer at Eloquent AI, you will be at the forefront of building ... Experience working with LLMs and NLP models, including fine-tuning and inference optimization.

Uniphore

Sr. AI Engineer

Palo Alto, CA

$122K - $168K/yr

Engineered for scalability and tailored for enterprise needs, we drive AI transformation that ... Develop, modify and fine-tune ML/NLP and pre-trained enterprise-grade large language models (LLMs ...

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Showing results 21-40

All JobsNlp Engineer JobsNlp Engineer Jobs in San Ramon, CA

Nlp Engineer information

See San Ramon, CA salary details

$40.8K

$119.9K

$153.7K

How much do nlp engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for nlp engineer in San Ramon, CA is $119,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $152,000.00 per year, depending on experience, location, and employer.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

What are popular job titles related to Nlp Engineer jobs in San Ramon, CA?

For Nlp Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Nlp Engineer jobs in San Ramon, CA look for?

The top searched job categories for Nlp Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Nlp Engineer jobs?

Cities near San Ramon, CA with the most Nlp Engineer job openings:

Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $119,889 per year, or $57.6 per hour.

Data Engineer

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.
Key Responsibilities
  • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines.
  • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes.
  • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking.
  • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams.
  • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria.
  • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively.
  • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards.
  • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.

Academic Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required
  • Master's degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.

Professional Experience - Required
  • Extensive experience in data engineering, data processing, and automation using Python.
  • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines.
  • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization.
  • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes).
  • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges.
  • Strong communication and collaboration skills with cross-functional teams.

Professional Experience - Preferred
  • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery.
  • Experience working with large language models, including evaluation, efficient inference, and prompt engineering.
  • Experience with refining outputs from large-scale AI models, such as LLM-generated data.
  • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow).
  • Familiarity with the latest advancements in NLP data processing and large language model technologies.

$150,000 - $450,000 a year
Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability

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