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Nlp Developer Jobs in California (NOW HIRING)

Bazze

AI Engineer

San Francisco, CA · On-site

Python, Bash, R. • Experience working with large-scale datasets and building machine learning models. • Have experience with containerization and DevOps Preferred : • Strong NLP and deep ...

Hebbia

Applied Research Engineer, Agents

San Francisco, CA · On-site

$241K/yr

... NLP techniques maintaining our foothold as an industry leader • You will utilize your expertise in statistics, programming, and machine learning to develop and deploy data-driven models and ...

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

NLP or Computer Vision (Preferred) * AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI ... Keywords AI Engineer, Machine Learning Engineer, Deep Learning, Python, TensorFlow, PyTorch, NLP ...

Pulse Software Corp

DevOps Engineer

San Francisco, CA · On-site

$150K - $210K/yr

... NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the ... Drive capacity planning and cost optimization Requirements * 4+ years in DevOps or platform ...

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 ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

... modern NLP techniques , along with experience delivering production-grade AI systems.Key ... of DevOps experience , including CI/CD pipelines * 7+ years of MongoDB or similar database ...

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How much do nlp developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for nlp developer in California is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $39.86 and $63.80 per hour, depending on experience, location, and employer.

What is a NLP developer?

An NLP developer is a software professional who designs and implements natural language processing systems that enable computers to understand, interpret, and generate human language. They typically work with machine learning models, programming languages like Python, and NLP libraries such as NLTK or spaCy to develop applications like chatbots, language translation, and sentiment analysis.

What does an NLP Developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

Is NLP in high demand?

NLP (Natural Language Processing) is a rapidly growing field within artificial intelligence, with increasing demand for NLP developers across industries such as tech, healthcare, and finance. Skills in machine learning, deep learning, and tools like Python and TensorFlow enhance job prospects, which are expected to remain strong as organizations prioritize automation and data analysis.

What are some common challenges faced by NLP Developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI executive, senior researcher, or lead developer, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve significant responsibility, expertise in programming languages like Python, and experience with AI frameworks, and they often offer compensation packages including salary, bonuses, and stock options. Such high salaries are rare and usually found in top tech companies or startups with substantial AI initiatives.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires specialized expertise, leadership roles, and a strong track record of impact.

What are the key skills and qualifications needed to thrive as an NLP Developer, and why are they important?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.
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What cities in California are hiring for Nlp Developer jobs? Cities in California with the most Nlp Developer job openings:
Nlp Developer jobs near you
Infographic showing various Nlp Developer job openings in California as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $108,466 per year, or $52.1 per hour.

AI Engineer

Bazze

San Francisco, CA • On-site

Full-time

Posted yesterday

Job description

Job Summary:
Bazze is an AI powered data marketplace that enables government and enterprise customers to answer their most difficult questions. They are seeking highly skilled and innovative AI Engineers to develop a large language model that interacts with their API and extracts valuable insights from various datasets.
Responsibilities:
• Develop and deploy a robust and scalable language model that interacts with an API, extracting insights and generating responses based on user queries or input.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define the requirements and specifications for the language model.
• Preprocess and analyze the dataset to extract relevant features and ensure data quality for training and evaluation purposes.
• Utilize state-of-the-art NLP algorithms and deep learning frameworks to design and train the language model, incorporating techniques such as transfer learning, attention mechanisms, and sequence modeling.
• Implement efficient data pipelines and integration with the API, ensuring seamless communication and data flow between the language model and external systems.
• Conduct thorough testing and evaluation of the language model's performance, including metrics such as accuracy, precision, recall, and computational efficiency.
• Stay up to date with the latest advancements in NLP, deep learning, and AI research to incorporate innovative approaches into the language model development process.
Qualifications:
Required:
• A bachelor's degree or higher in computer science, data science, machine learning, or a related field.
• Experience coding and scripting in one or more languages: Python, Bash, R.
• Experience working with large-scale datasets and building machine learning models.
• Have experience with containerization and DevOps
Preferred:
• Strong NLP and deep learning expertise, including building and fine-tuning large-scale language models like GPT-3, BERT, or Transformer-based architectures.
• Proficiency in NLP libraries and frameworks such as NLTK, Spacy, or Hugging Face's Transformers.
Company:
Bazze provides an alternative data marketplace that analyzes and assesses risks posed by hostile foreign actors. Founded in 2018, the company is headquartered in Washington, USA, with a team of 2-10 employees. The company is currently Early Stage.

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