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

Onyx AI

Machine Learning Engineer

San Francisco, CA · On-site

$164K/yr

... Engineer to enhance their agent and knowledge retrieval capabilities. The role involves evaluating ... NLP, multi-modal transformers, advanced information retrieval algorithms • Working on users ...

Uniphore

Sr. AI Engineer

Palo Alto, CA · On-site

$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 ...

Onyx AI

Fullstack Engineer

San Francisco, CA · On-site

... Fullstack Engineer to shape their core product. The role involves building consumer-grade UI ... in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase ...

Lever Demo 2

Software Engineer

Palo Alto, CA · On-site

You will be a founding member of the engineering team. You will be responsible for working with the ... Enthusiasm for staying up-to-date on latest CV and NLP research Lever builds modern recruiting ...

Jobzhr

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $200/hr

Develop and evaluate models across reinforcement learning, NLP/LLMs, computer vision, and ... Strong software engineering fundamentals and the ability to work independently on ambiguous ...

Collinear AI

MTS - Engineering

San Francisco, CA · On-site

$150 - $300/hr

The ideal candidate will have hands‑on experience in DevOps technologies, testing frameworks, database management, and exposure to AI/ML or NLP/LLM projects. Key responsibilities include: * Develop ...

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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.

Machine Learning Engineer

Onyx AI

San Francisco, CA • On-site

$164K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary:
Onyx AI is a popular open source project with a large user base, and they are seeking a Machine Learning Engineer to enhance their agent and knowledge retrieval capabilities. The role involves evaluating and implementing LLM-based knowledge graphs, improving user experience through various features, and collaborating with leadership to influence product direction.
Responsibilities:
• Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms
• Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.
• Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx
• Own the approach from inception to validation to production code
• Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy
Qualifications:
Required:
• 3+ years of AI/ML engineering experience building real-world applications
• in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms
• up to date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks
• Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs
• Excellent communication skills and ability to collaborate with full stack roles
Preferred:
• Familiar with the full stack Typescript/React/NextJS, Python, Postgres
• Interested in writing technical blogs to establish Onyx is leader in the space
Company:
Onyx is the open source AI platform for work with features like AI Chat, Enterprise Search, Custom AI Assistants, Agents/Actions, and more. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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