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Natural Language Processing Engineer Jobs in Massachusetts

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Bachelor's degree in a relevant subject area (e.g., computer science, electrical engineering ...

Roberts Recruiting

Machine Learning Engineer

Boston, MA · On-site

As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...

Roberts Recruiting

Senior NLP Engineer

Boston, MA · On-site

$113K - $156K/yr

Senior Natural Language Processing (NLP) Engineer Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are ...

Roberts Recruiting

Senior Data Scientist

Boston, MA · On-site

Design natural language processing solutions including named-entity recognition and text classification * Lead a team of data analysts * Work with our product managers and machine learning engineers ...

Roberts Recruiting

NLP Tools Engineer

Boston, MA · On-site

Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning. We are looking for brilliant software engineers ...

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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 Jun 16, 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 is the salary of an NLP engineer?

The salary of a Natural Language Processing (NLP) engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with proficiency in tools like Python, TensorFlow, or PyTorch.

Is ML a high paying job?

A career as a Natural Language Processing Engineer, which involves machine learning (ML), is generally considered high paying due to the specialized skills required, such as programming in Python, understanding of deep learning frameworks, and experience with large datasets. Salaries tend to be above average in the tech industry, especially with experience, advanced degrees, and proficiency in tools like TensorFlow or PyTorch.

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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like machine learning or natural language processing can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in certain industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech firms or startups with high growth potential.

What does a natural language processing engineer do?

A natural language processing (NLP) engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with techniques such as machine learning, deep learning, and linguistic analysis, often using tools like Python and libraries like TensorFlow or PyTorch, to build applications like chatbots, language translation, and sentiment analysis.
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
Infographic showing various Natural Language Processing Engineer job openings in Massachusetts as of June 2026, with employment types broken down into 54% Full Time, 36% Part Time, 3% Temporary, 5% Contract, and 2% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $100,495 per year, or $48.3 per hour.
Senior Natural Language Processing (NLP) Engineer

Senior Natural Language Processing (NLP) Engineer

Roberts Recruiting

Cambridge, MA • On-site

$114K - $156K/yr

Other

Posted 27 days ago

Job description

Would you like to contribute creatively to a large, meaningful mission? We are in the processing oftransforming healthcare. In particular, we are transforming the way that care givers across the countryintegrate information and make decisions.
Due to a recent acquisition, we now have an unprecedented combinationof scale and industry leading technology and talent to change the way we experiencehealthcare.Specifically designed with the size and scale to address the complexity of today's and tomorrow'shealthcare system, we are a company committed to advancing medical benefits management - andenabling better outcomes for patients, providers, and plans.
Ours is an evidence-based approach that leverages our exceptional capabilities, powerful analytics, andan acute sensitivity to the challenges and needs of everyone involved across the healthcare spectrum.Applying proven talent and leading-edge technology, we harness healthcare's evolving demand andinherent change to realize and deliver improved results for everyone.
Want to join us?
We leveragedeep evidence based knowledge and technology todeliver services and software solutions so healthcare payers and providers can deliver the best qualitycare. Our natural language processing (NLP) and machine learning (ML) platform replaces outdatedmanual processes with software-driven clinical reasoning.
The Senior NLP Engineer should have the following:
- Computer Science, Engineering or Math degree; advanced degree aplus
- Experience with NLP and ML algorithms and tools; 2 + years' experience
- Strong programming skills in Java
- Familiarity with diverse set of computing technologies: Linux, Python, Bash, SQL, JavaScript
- Excellent organizational and communication skills
What's in it for you, other than improving patient care? We carefully select really smart people andprovide them with the autonomy to build great software. We recognize and reward based on merit, nottitles. We have amazing views from our offices, lots of food, an espresso machine and other perks. Butmost of all we offer the chance to build your career with people like you who want to solve problems,and have fun together.

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