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Machine Learning Engineer Nlp Jobs (NOW HIRING)

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122K - $184K/yr

... g., NLP, multi-media). • 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++) • 1+ year of experience using statistics and ...

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Machine Learning Engineer Nlp information

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$31.5K

$128.8K

$193.5K

How much do machine learning engineer nlp jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer nlp in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer NLP roles?

Machine Learning Engineer NLP roles focus on designing, building, and deploying machine learning models that process and understand human language. These engineers work with large datasets to train algorithms for tasks such as text classification, sentiment analysis, language translation, and chatbot development. They combine expertise in computer science, data science, and linguistics, using technologies like deep learning and natural language processing libraries. Their work enables computers to interpret, generate, and respond to human language in meaningful ways.

How does a Machine Learning Engineer specializing in NLP typically collaborate with data scientists and software engineers during a project?

Machine Learning Engineers focused on NLP often work closely with data scientists to translate research findings and experimental models into scalable, production-ready systems. They collaborate with software engineers to integrate NLP models into larger applications, ensuring efficient deployment and performance. Communication and teamwork are key, as engineers must balance model accuracy with system requirements, address technical challenges together, and iterate on solutions based on feedback from cross-functional teams.

What is the difference between Machine Learning Engineer Nlp vs Data Scientist?

AspectMachine Learning Engineer NlpData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops NLP models, deploys ML solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on NLP applicationsFinance, healthcare, marketing, and tech sectors analyzing large datasets

While both roles require strong data analysis skills and knowledge of machine learning, Machine Learning Engineer Nlp focuses on developing and deploying NLP models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ in their primary focus and responsibilities.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in NLP, and why are they important?

To thrive as a Machine Learning Engineer in NLP, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, spaCy, and Hugging Face Transformers, as well as experience with cloud platforms and version control systems, is crucial. Excellent problem-solving abilities, effective communication, and a collaborative mindset are standout soft skills in this role. These competencies enable the development, deployment, and optimization of NLP models that solve real-world language processing challenges efficiently and innovatively.
What states have the most Machine Learning Engineer Nlp jobs? States with the most job openings for Machine Learning Engineer Nlp jobs include:
Machine Learning Engineer Nlp jobs near you
Infographic showing various Machine Learning Engineer Nlp job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Junior Machine Learning Engineer

Junior Machine Learning Engineer

SynergisticIT

Jacksonville, FL

Other

Posted 12 days ago

Job description

Job Posting

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcomes. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Perform statistical analysis

Flask introduction and Flask application

Tokenization and Ada boost

Work on CNN in python and SVR/SVM and isolation forest

Skills Required

Applied Mathematics. Math's is quite an important skill in the arsenal of a Machine Learning engineer.

Computer Science Fundamentals and Programming.

NLP and Text Mining Required.

Pandas Data Analysis Required

Experience on Cleansing Data with Python.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

On Job Technical support

E- verified

Help to get H1B Employer.

Full time position

Candidates who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

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