ZipRecruiter

Log In

1

Natural Language Processing Research Jobs (NOW HIRING)

Northwestern University

Research Associate

Evanston, IL · On-site

$80K/yr

Experience in data mining, natural language processing analysis, and working with geographic data ... Special Research Project on Local News Access in Midwestern States * Updating and Analyzing Local ...

University of Florida

Post Doc Associate

Gainesville, FL · On-site

$61K - $65K/yr

Implement methods into software that meets research needs, manage and update source codes as needed ... Experiences in natural language processing, large language models, machine learning (deep learning ...

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for tasks like inventory scanning or patient ...

next page

Showing results 1-20

All JobsNatural Language Processing Research Jobs

Natural Language Processing Research information

What are the key skills and qualifications needed to thrive as a Natural Language Processing (NLP) Researcher, and why are they important?

To thrive as a Natural Language Processing Researcher, you need a solid background in computer science, machine learning, linguistics, and typically a graduate degree in a relevant field. Proficiency with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, along with experience in publishing academic research. Strong analytical thinking, creativity, and effective communication skills help in developing novel solutions and collaborating within interdisciplinary teams. These skills are vital for advancing the field, solving complex language problems, and driving impactful research outcomes.

What is an NLP researcher?

An NLP researcher is a professional who studies and develops algorithms to enable computers to understand, interpret, and generate human language. They often work with machine learning models, natural language processing tools, and large datasets to improve language-based applications such as chatbots, translation systems, and information retrieval. Strong programming skills and knowledge of linguistics or data science are typically required.

What are some typical challenges faced by professionals in Natural Language Processing (NLP) research roles?

NLP researchers often encounter challenges related to the complexity and ambiguity of human language, such as handling sarcasm, idioms, or multilingual datasets. Keeping up with rapid advancements in deep learning architectures and large language models is also a common demand. Additionally, working with large-scale datasets requires robust data cleaning and preprocessing skills, as well as collaboration with cross-functional teams like data engineers and product managers to ensure research findings translate into practical applications.

Will AI replace NLP?

As a Natural Language Processing researcher, AI is a tool that enhances NLP capabilities rather than replacing the field. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and interpreting models. The role involves staying current with evolving algorithms and tools to address complex language understanding tasks.

What is Natural Language Processing (NLP) research?

Natural Language Processing (NLP) research focuses on enabling computers to understand, interpret, and generate human language. Researchers in this field work on developing algorithms and models that help machines process text and speech, such as chatbots, translation systems, and sentiment analysis tools. NLP research combines knowledge from linguistics, computer science, and artificial intelligence to solve complex language-related problems. Common tasks include language modeling, machine translation, and information extraction.

What is the difference between Natural Language Processing Research vs Data Scientist?

AspectNatural Language Processing ResearchData Scientist
Required CredentialsAdvanced degrees in CS, NLP, or AI; research experienceDegree in CS, Statistics, or related; some research experience beneficial
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companies focusing on NLPVarious industries including finance, healthcare, tech, e-commerce
Common Search & Comparison IntentUnderstanding research roles in NLPUnderstanding data analysis and modeling roles

Natural Language Processing Research focuses on developing new algorithms and models to advance NLP technology, often within academic or research settings. Data Scientists analyze data to extract insights, build predictive models, and support business decisions. While both roles require strong analytical skills, NLP Research emphasizes innovation in language models, whereas Data Scientists focus on applying data techniques across various domains.

Does NLP pay well?

Natural Language Processing (NLP) research roles tend to offer competitive salaries, especially for those with advanced degrees, strong programming skills, and experience with machine learning frameworks. Salaries vary by industry, location, and level of expertise but generally align with other specialized AI and data science positions.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) research is a growing field within artificial intelligence, with demand for experts skilled in machine learning, linguistics, and programming. Careers in NLP often involve working with large datasets, algorithms, and tools like Python and TensorFlow, and can offer opportunities in academia, industry, and tech companies. It is considered a promising and evolving area for those interested in AI and language technologies.
More about Natural Language Processing Research jobs
What job categories do people searching Natural Language Processing Research jobs look for? The top searched job categories for Natural Language Processing Research jobs are:
Natural Language Processing Research jobs near you
Infographic showing various Natural Language Processing Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
AIML - Machine Learning Researcher, Data and ML Innovation

AIML - Machine Learning Researcher, Data and ML Innovation

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud.
As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.
Description
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:
- Analyzing search ranking and relevance requirements, issues and opportunities
- Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
- Understanding product requirements, translate them into modeling tasks and engineering tasks
- Building machine learned models for search relevance, ranking and query understanding problems
- Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
- Building end-to-end production system including query understanding and ranking to power search
- Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
PhD, MS or equivalent experience
Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
Proficiency in one of following languages: Python, Go, Java, C++
Preferred Qualifications
Excellent data analytical skills
Good interpersonal skills and team player
PhD preferred

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

View All Apple Jobs

Apply