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Machine Learning Nlp Jobs in Cambridge, MA (NOW HIRING)

S&P Global

Machine Learning Engineer II

Cambridge, MA

$106K - $145K/yr

With expertise in machine learning, natural language processing, and data discovery, we develop and ... Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques ...

Socket.dev

Machine Learning Research Engineer

Cambridge, MA · On-site

$120 - $192.50/hr

The Role FL105 seeks a talented Machine Learning Research Engineer . The successful candidate will ... Publications at top ML / NLP venues such as NeurIPS, ICML, ACL and EMNLP are a bonus * Proven ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

... machine-learning theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance techniques • Ability to read, evaluate, and implement state-of-the-art research papers • ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

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All JobsMachine Learning Nlp JobsMachine Learning Nlp Jobs in Cambridge, MA

Machine Learning Nlp information

See Cambridge, MA salary details

$41K

$134.2K

$214.8K

How much do machine learning nlp jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning nlp in Cambridge, MA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,600.00 per year, depending on experience, location, and employer.

What is a machine learning NLP?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What does a machine learning NLP do?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning NLP position?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

Are machine learning NLP engineers in demand?

Machine learning NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in deep learning frameworks, Python, and NLP tools to develop and improve AI language models, making this a strong career field with positive job growth prospects.

What are popular job titles related to Machine Learning Nlp jobs in Cambridge, MA?

For Machine Learning Nlp jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Nlp jobs in Cambridge, MA look for?

The top searched job categories for Machine Learning Nlp jobs in Cambridge, MA are:

Machine Learning Nlp jobs near you
Infographic showing various Machine Learning Nlp job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 18% Part Time, and 11% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,150 per year, or $64.5 per hour.

Lead Data Scientist

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Posted 16 days ago

Job description


Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire opportunity. You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems.
This is a highly visible opportunity for someone who wants to shape the future of enterprise AI. You'll help define AI strategy, lead the design of next-generation intelligent systems, and partner across engineering, product, and business teams to bring advanced AI capabilities into production.
Contract Duration: 6 Months (Contract-to-Hire)
Required Skills & Experience
Bachelor's degree required; Master's degree preferred
8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields
Strong experience with Large Language Models (LLMs) and Generative AI applications
Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
Expertise in machine learning, NLP, and information retrieval techniques
Experience building and deploying production AI/ML systems at scale
Strong Python programming skills
Experience working with distributed systems and cloud-based AI environments
Deep understanding of agentic AI architectures and autonomous workflows
Proven ability to lead technical initiatives and influence AI strategy
Excellent communication, stakeholder management, and problem-solving skills
Desired Skills & Experience
Experience leading enterprise-scale AI platform initiatives
Familiarity with vector databases and semantic search technologies
Knowledge of legal, regulatory, or document-intensive data environments
Experience with model evaluation, monitoring, governance, and optimization
Exposure to workflow automation and intelligent agent frameworks
Experience mentoring Data Scientists and Machine Learning Engineers
Advanced degree in Data Science, Computer Science, Machine Learning, or a related field
What You Will Be Doing
Tech Breakdown
40% LLMs, RAG, and Generative AI
25% Machine Learning & NLP
20% Agentic AI & Intelligent Automation
15% Technical Leadership & AI Strategy
Daily Responsibilities
65% Hands On
15% Leadership & Mentorship
20% Team Collaboration
You'll lead the design and deployment of advanced AI systems, establish best practices for AI development, mentor team members, collaborate with leadership on AI strategy, and drive the adoption of LLMs, RAG, and agentic AI technologies across enterprise-scale platforms.

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