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Natural Language Processing Engineer Jobs in Massachusetts

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Natural Language Processing (NLP) * Computer Vision * Reinforcement Learning (preferred ... Prompt Engineering * Fine-tuning LLMs * Knowledge Graphs * MLOps Certification * Cloud ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics ... S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics ... S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics ... S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of ...

MIT Lincoln Laboratory

AL/ML Programmer

Lexington, MA · On-site

Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics ... D. in electrical engineering, computer science, or another relevant discipline, or a Masters and ...

MIT Lincoln Laboratory

AL/ML Programmer

Lexington, MA · On-site

Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics ... D. in electrical engineering, computer science, or another relevant discipline, or a Masters and ...

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Showing results 21-40

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 Aug 11, 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 as a natural language processing engineer?

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
Infographic showing various Natural Language Processing Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $100,495 per year, or $48.3 per hour.

Machine Learning Engineer - Health AIML

Apple

Cambridge, MA • On-site

Full-time

Re-posted 14 hours ago

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

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
Description
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
Minimum Qualifications
10+ years of overall software development experience.
Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, or a related field.
Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
Experience with healthcare data, products, and workflows.
Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
Proven track record of contributing to diverse teams in a collaborative environment.
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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