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Machine Learning Natural Language Processing Jobs

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 ...

Tata Consultancy Services

Data Scientist

Manhattan, NY · On-site

Tata Consultancy Services is looking for a Data Scientist with expertise in Artificial Intelligence and Machine Learning, particularly in Natural Language Processing and Generative AI. The role ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Exposure or coursework in machine learning, natural language processing or linguistics * Strong grasp of CS fundamentals, algorithms, data structures, and design patterns * Recommendation from a ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field * Experience with ...

Apple

Sr Software Engineer, Proactive

Santa Clara, CA · On-site

$143K - $189K/yr

As part of this group, you'll work with our machine learning, natural language processing, and infrastructure teams; optimize your work to run efficiently across Apple's range of products; and build ...

Closure Technologies

Data Scientist

Chantilly, VA

Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms * Ability to develop persistent monitoring applications for ...

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How much do machine learning natural language processing jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for machine learning natural language processing in the United States is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.63 per hour, depending on experience, location, and employer.

How do professionals in Machine Learning Natural Language Processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.

What engineers make $500,000?

Senior machine learning engineers and natural language processing (NLP) specialists with extensive experience, advanced skills in deep learning frameworks, and strong industry demand can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on product development.

What is a Machine Learning Natural Language Processing (NLP) specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.

Which 3 jobs will survive AI?

For a Machine Learning Natural Language Processing professional, roles such as AI ethics specialists, data scientists, and machine learning engineers are expected to persist due to their focus on developing, managing, and overseeing AI systems. These jobs require advanced technical skills, domain expertise, and ongoing adaptation to new tools and algorithms, making them more resilient to automation.

What are the key skills and qualifications needed to thrive as a Machine Learning Natural Language Processing specialist, and why are they important?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

What is the role of machine learning in natural language processing?

In natural language processing (NLP), machine learning enables systems to automatically analyze, understand, and generate human language by training models on large datasets. Machine learning algorithms, such as neural networks and classifiers, are used to perform tasks like language translation, sentiment analysis, and speech recognition, making NLP applications more accurate and efficient. For a machine learning NLP role, knowledge of programming, data preprocessing, and relevant tools like Python and TensorFlow is essential.

What is the salary of NLP machine learning?

The salary for machine learning professionals specializing in natural language processing (NLP) typically ranges from $80,000 to $150,000 annually, depending on experience, location, and education. Entry-level roles may start lower, while experienced specialists or those with advanced skills in deep learning and NLP tools can earn higher salaries.
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What cities are hiring for Machine Learning Natural Language Processing jobs? Cities with the most Machine Learning Natural Language Processing job openings:
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Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in the United States as of June 2026, with employment types broken down into 32% Full Time, 65% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $41,370 per year, or $19.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Roberts Recruiting

Boston, MA • On-site

Other

Medical, Dental, PTO

Posted 9 days ago

Job description

We're looking for a smart, friendly, and dedicated machine learning engineers to help build new features and products. As a company, we're customer and sales-driven in every technical decision we make. 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 data sources. You will design and build customized, large-scale cloud-based machine learning systems. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers and UX Designers, collaborating in a fast-paced, small-team environment.
We're looking for teammates with:
  • BS in computer science or computer engineering required, MS preferred
  • Broad knowledge of machine learning and deep learning models and its applications using standard tools including Tensorflow/Keras
  • Backend development experience with a strong interest in work involving data pipelines, distributed systems, performance analysis, and/or large-scale data processing
  • Natural language processing experience including named-entity recognition and text classification is a plus
  • Strong Python skills and Python ML stack (pandas, scikit-learn, numpy, etc.) with knowledge of Object-Oriented Programming
  • Fluency in SQL and Database Management
  • Experience with software engineering practices (e.g. Agile, unit testing, code reviews, design documentation)
  • Excellent communication and collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences
By taking this job, you'll get:
  • MacBook Pro
  • Two HD monitors
  • Unlimited vacation
  • Stock options
  • All you can eat snacks
  • Great health and dental benefits
  • Company swag (we have the best socks in Boston)
  • Chance to build something amazing from the ground floor
  • Friendly commuting options to Downtown Crossing

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