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Nlp Developer Jobs in California (NOW HIRING)

Avoma Inc

ML Engineer - NLP

Palo Alto, CA

$120K - $140K/yr

Deep Learning / NLP Engineer Join Avoma and work on some of the most challenging NLP problems in our mission to make every meeting more productive. Our intelligent meeting assistant helps ...

Nutanix

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

About the Team The senior staff engineer will join the Unified Storage team at Nutanix, located in ... Your Role * Design and develop NLP/LLM-powered features to enhance the DataHub platform.

Capture2, Inc.

NLP Data Lead

San Diego, CA

We are seeking an application engineer with experience extracting key information from unstructured ... An individual with a background in NLP technologies will be integral to guiding the training and ...

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

... 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 Developer information

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How much do nlp developer jobs pay per hour?

As of Jun 12, 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.

Which 3 jobs will survive AI?

NLP developers are likely to continue playing a vital role as AI advances, focusing on designing and improving language models. Jobs that require complex problem-solving, creativity, and emotional intelligence—such as data scientists, AI ethicists, and software engineers—are also expected to persist. These roles involve skills that are difficult for AI to fully replicate, ensuring ongoing demand.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI researchers or executive positions like AI directors or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

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 businesses seek to automate and analyze language data.

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 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, with roles requiring strong technical expertise and leadership abilities.

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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Nlp Developer jobs near you
Infographic showing various Nlp Developer job openings in California as of June 2026, with employment types broken down into 35% Full Time, and 65% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $108,466 per year, or $52.1 per hour.
ML Engineer - NLP

ML Engineer - NLP

Avoma Inc

Palo Alto, CA

$120K - $140K/yr

Other

PTO

Posted 6 days ago

Job description

Deep Learning / NLP Engineer

Join Avoma and work on some of the most challenging NLP problems in our mission to make every meeting more productive. Our intelligent meeting assistant helps professionals get insights and automate common tasks required for any business meeting. We leverage the latest NLP techniques to generate notes, analyze data, and automate agentic workflows so our users can spend more time getting things done. We are a venture-funded early-stage startup, have 1000+ paid B2B customers, and are growing consistently month over month.

We are looking for a Deep Learning / NLP Engineer to improve and build our systems to extract key insights and topics from conversations. For our insights engine, you'll need to apply SOTA NLP techniques to take on challenges like identifying different topics of interest and summarizing meeting transcripts to succinct notes. At Avoma you will:

  • Improve Avoma's Insights Engine
  • Create new models to be used in the production
  • Work with state-of-the-art LLMs to solve complex tasks
  • Develop and improve Deep Learning models using the latest frameworks
  • Build bleeding edge systems to power Ask Avoma and Avoma Agents
  • Stay up to date on the latest state-of-the-art papers in NLP
  • Work with large datasets of over a million documents

Requirements:

  • At least 2+ years of experience with Machine Learning & NLP in a production environment
  • Experience developing and debugging in Python
  • Experience working with GPT, Claude, Gemini, or other similar LLMs.
  • Experience writing and shipping scalable, high-performant and clean code
  • Experience training Deep Neural Networks
  • Experience with Tensorflow, PyTorch, or similar frameworks
  • Excellent in both spoken and written communication skills
  • Curious, self-motivated, and loves challenging problems

Benefits:

  • A transparent salary structure: $120k - $140k per year (DOE)
  • Stock Option Plan
  • Fast-paced, collaborative work environment
  • Paid Time Off (Vacation, Sick and Public Holidays)

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