1

Natural Language Processing Jobs in Austin, TX (NOW HIRING)

... natural language processing (NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology) Proficiency with UNIX shell environment ...

... natural language processing (NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology) Proficiency with UNIX shell environment ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

Demonstrated experience leveraging Natural Language Processing (NLP) techniques for text classification, tagging, or entity extraction * Proficiency in Python and key ML libraries: PyTorch ...

The Principal NLP Scientist is a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for ...

Manager, Machine Learning, Apple Store Online

Austin, TX · On-site

$81K - $112K/yr

... Natural Language Processing including RAG based Generative AI and transformer architecture Experience with building data processing pipelines, large scale machine learning systems, and big data ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture. Skilled in ...

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Showing results 21-40

Natural Language Processing information

See Austin, TX salary details

$14

$25

$47

How much do natural language processing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for natural language processing in Austin, TX is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $29.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.
What are popular job titles related to Natural Language Processing jobs in Austin, TX? For Natural Language Processing jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Austin, TX look for? The top searched job categories for Natural Language Processing jobs in Austin, TX are:
Infographic showing various Natural Language Processing job openings in Austin, TX as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $52,521 per year, or $25.3 per hour.

Software Engineer (AML), AI & Data Platforms (AiDP)

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted yesterday


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple's products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.
Minimum Qualifications
BS in Computer Science or related field or equivalent.
3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.
Experience developing AI/ML systems at scale in production or in high-impact research environments.
Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.
Knowledge with the common frameworks and tools such as PyTorch or TensorFlow.
Preferred Qualifications
Experience in Anomaly detection and forecasting & related methodologies
Experience and proficiency in python & writing efficient SQLs.
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus
Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976