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

... engineers to define product roadmap and feature specifications • Stay current with the latest technological advances in text mining, NLP processing, and machine learning Qualifications • ...

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NLP Scientist

South San Francisco, CA · On-site

$75.23 - $83.23/hr

Strong Python production engineering with modern natural language processing frameworks. * Demonstrated work in evidence-grounded NLP: hybrid retrieval, natural-language inference and entailment ...

Minimum capabilities Strong Python production engineering with modern natural language processing frameworks Demonstrated work in evidence-grounded NLP: hybrid retrieval, natural-language inference ...

... NLP algorithms and deep learning frameworks to design and train the language model, incorporating ... and DevOps Preferred : • Strong NLP and deep learning expertise, including building and fine ...

Performs Google CCAI Natural Language Processing (NLP) tuning with the team * Collaborates with Technical Account Managers, Project Managers & Engineering manager on daily basis and resolve ...

Performs Google CCAI Natural Language Processing (NLP) tuning with the team * Collaborates with Technical Account Managers, Project Managers & Engineering manager on daily basis and resolve ...

Staff ML Engineer

San Francisco, CA · On-site

$180 - $240/hr

Build clinical NLP pipelines for automated E&M coding and ICD-10 classification * Implement note ... engineering with focus on NLP/speech recognition * Strong expertise in PyTorch or TensorFlow

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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:

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.

Software Engineer, NLP/Machine Learning

WisdomAI, Inc.

San Mateo, CA • On-site

$140 - $210/hr

Other

Posted 19 days ago


Job description

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn't just surface insights - it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We're trusted by companies like Cisco, Patreon, and Rubrik - and we're just getting started. The problems here are hard, and the expectations are high. Our team is energized by both. If you're compelled by ambitious problems, high standards, and meaningful ownership, you'll thrive here.

Role

We are looking for exceptional ML/NLP engineers to join our team. We are working on fundamental problems in LLM based code-generation, document understanding, context synthesis and LLM based agents. Our team consists of experts from companies like Glean, Apple, Rubrik, Google and Meta.

What you will do

  • Build workflows/agentic pipelines for complex analytical workloads.
  • Design evaluation framework and carry out evaluations of our query processing engine.
  • Work closely with customers and founders to define the product and engineering roadmap.
  • Shape up the engineering culture and tech stack for the company.

You have

  • Strong analytical skills and proven ability to work with hard NLP problems.
  • Background in search/retrieval, LLMs, and evaluation pipelines is plus.
  • Experience working in startup/fast paced teams is highly desirable.
  • Bachelor's or Master's degree in Computer Science or related field.

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Our CRAFT

CRAFT isn't a list of aspirational values. It's how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C - Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust - never the other way around.

R - Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn't the measure - results are. If something isn't working, we change the approach now.

A - Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F - First principles, grounded in reality. We don't accept 'that's how it's done.' We strip problems to what's actually true and build up from there - then validate quickly and let real-world results decide.

T - Transparency. We share the why, not just the what. When something can't be shared, we say so. We're one team - information flows so we can do our best work and challenge each other when we're wrong.

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Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.

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