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Machine Learning Nlp Jobs (NOW HIRING)

Apple

Machine Learning Engineer, Proactive

Cupertino, CA

$216K - $324K/yr

... various NLP tasks including summarization, question answering, search relevance/ranking, entity ... Machine Learning, or a related field. At least 2 years of experience in various state-of-the-art ...

Full Scope

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Experience with natural language processing (NLP) and computer vision. * Familiarity with big data ...

Viant Technology

Staff Applied Scientist

Irvine, CA

$180K - $220K/yr

Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field. * Deep ...

Nutanix

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

The Opportunity Are you a highly skilled NLP Architect with a strong background in natural language processing and machine learning, looking to push the boundaries of AI-driven data exploration? If ...

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How much do machine learning nlp jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning NLP job?

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 are the typical daily responsibilities of a Machine Learning NLP specialist?

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, and why are they important?

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.

More about Machine Learning NLP jobs
What cities are hiring for Machine Learning Nlp jobs? Cities with the most Machine Learning Nlp job openings:
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Machine Learning NLP jobs near you
Infographic showing various Machine Learning Nlp job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

Apple

Cupertino, CA • On-site

Full-time

Re-posted 7 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users.
The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms.
Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple.
Description
As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering.
The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP.
Minimum Qualifications
Experience writing production software (Swift, C/C++, Obj-C, Python)
Good machine learning (ML) fundamentals
B.S, M.S. or PhD in Computer Science or a related field
Preferred Qualifications
Hands-on experience in using open-source ML toolkits, e.g., PyTorch
Hands-on experience with building NLP/Generative AI applications
Excellent communication and organizational 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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