ZipRecruiter

Log In

1

Natural Language Processing Engineer Jobs in Massachusetts

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical ...

STR

Principal Signal Processing Engineer

Woburn, MA

$206K - $284K/yr

To realize the value, the team develops both engineering and operational prototypes to demonstrate ... Machine learning tasks such as natural language processing, image recognition, semantic ...

STR

Principal Signal Processing Engineer

Woburn, MA · On-site

$206K - $284K/yr

To realize the value, the team develops both engineering and operational prototypes to demonstrate ... Machine learning tasks such as natural language processing, image recognition, semantic ...

STR

Principal Signal Processing Engineer

Woburn, MA · On-site

$206K - $284K/yr

To realize the value, the team develops both engineering and operational prototypes to demonstrate ... Machine learning tasks such as natural language processing, image recognition, semantic ...

next page

Showing results 1-20

All JobsNatural Language Processing Engineer JobsNatural Language Processing Engineer Jobs in Massachusetts

Natural Language Processing Engineer information

See Massachusetts salary details

$54.1K

$100.5K

$155.6K

How much do natural language processing engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for natural language processing engineer in Massachusetts is $100,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $112,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Natural Language Processing Engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a Natural Language Processing Engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Engineer position, and why are they important?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Massachusetts? The most popular types of Natural Language Processing Engineer jobs in Massachusetts are:
What are popular job titles related to Natural Language Processing Engineer jobs in Massachusetts? For Natural Language Processing Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Engineer jobs in Massachusetts look for? The top searched job categories for Natural Language Processing Engineer jobs in Massachusetts are:
Natural Language Processing Engineer jobs near you
Language Engineer, Artificial General Intelligence - Data Services

Language Engineer, Artificial General Intelligence - Data Services

Amazon

Boston, MA

$124K - $149K/yr

Full-time

Re-posted 18 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,962 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.


Key job responsibilities
Specifically, the Language Engineer will:
Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Analyze and extract language-related insights from large amounts of data
Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
Use modeling tools to bootstrap or test new functionalities
Collaborate with scientists and software engineers to evaluate performance of language models
Handle competing requests from a range of data customers

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

View All Amazon Jobs

Apply