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Full Time Nlp Engineer Jobs (NOW HIRING)

OPPO US Research Center

AI Engineer

Palo Alto, CA

Master's degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor's degree with 2+ years of ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

Fluency

AI Engineer

San Francisco, CA · On-site

They are seeking a full-time AI Engineer to develop and improve user-facing AI features by creating ... NLP, or applied research • Experience with structured output, function calling, and tool use at ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Inform and implement the design and development of NLP applications to enhance the intelligence and ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Inform and implement the design and development of NLP applications to enhance the intelligence and ...

Socotec

Applied AI Engineer

Manhattan, NY

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

National Debt Relief, LLC.

Engineer, Applied AI

$129K - $149K/yr

Exposure to GenAI use cases including document understanding (OCR/NLP), summarization, or ... Available for full-time position. Compensation Information Our salary ranges are determined by role ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

This role is a full-time position located out of our office in Pittsburgh, PA. This role may ... Inform and implement the design and development of NLP applications to enhance the intelligence and ...

SOCOTEC

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

Socotec

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

Socotec

Applied AI Engineer

Manhattan, NY

Design and implement machine learning models tailored to natural language processing (NLP) and ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time, ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

Requirements Minimum Qualifications: • Master's degree in CS, AI, ML, CV, NLP, or a related field ... The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term ...

Jobsbridge

Senior Big Data Software Engineer

Cupertino, CA

$68.75 - $91/hr

Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC can ... Demonstrated skills across Native Language Processing (NLP), data mining, and social media data ...

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Full Time Nlp Engineer information

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$59.5K

$111.6K

$203K

How much do full time nlp engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time nlp engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are some common challenges full time NLP engineers face when deploying language models in production environments?

Full Time NLP Engineers often encounter challenges such as ensuring model scalability, managing latency for real-time applications, and maintaining data privacy. Additionally, handling diverse and noisy real-world data can require constant model updates and monitoring for bias or drift. Collaborating closely with data engineers, product managers, and DevOps teams is essential to streamline deployment, monitor system health, and address issues as they arise.

What is a full time NLP engineer?

A Full Time NLP (Natural Language Processing) Engineer is a technology professional who designs, builds, and maintains systems that allow computers to understand, interpret, and generate human language. This role typically involves working with large datasets, developing machine learning models, and applying linguistic algorithms to solve problems such as text classification, sentiment analysis, language translation, and chatbot development. NLP Engineers collaborate with data scientists, software engineers, and product teams to integrate language technologies into various applications. Being employed full time means they are dedicated to this role as their primary occupation, usually working a standard workweek for a single company or organization.

What are the key skills and qualifications needed to thrive as a full time NLP engineer, and why are they important?

To thrive as a Full Time NLP Engineer, you need expertise in natural language processing, machine learning, programming (Python), and a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, NLTK, spaCy, and experience with cloud platforms are commonly required, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for building robust NLP solutions, collaborating cross-functionally, and staying current in a rapidly evolving field.

What is the difference between Full Time Nlp Engineer vs Data Scientist?

AspectFull Time Nlp EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, NLP, or related fields; experience with NLP toolsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentTech companies, research labs, AI startups focusing on NLP projectsVarious industries including finance, healthcare, marketing, analyzing data sets
Employer & Industry UsagePrimarily in AI, NLP, and machine learning teamsAcross industries for data analysis, predictive modeling, and insights

Full Time Nlp Engineers focus specifically on developing NLP models and algorithms, while Data Scientists work broadly with data analysis and modeling across various domains. Both roles require programming skills and a strong understanding of data, but Nlp Engineers specialize in language processing tasks.

More about Full Time Nlp Engineer jobs
What cities are hiring for Full Time Nlp Engineer jobs? Cities with the most Full Time Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Full Time Nlp Engineer jobs? States with the most job openings for Full Time Nlp Engineer jobs include:
What job categories do people searching Full Time Nlp Engineer jobs look for? The top searched job categories for Full Time Nlp Engineer jobs are:
Full Time Nlp Engineer jobs near you
Infographic showing various Full Time Nlp Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

AI Engineer

OPPO US Research Center

Palo Alto, CA

Full-time

Re-posted 20 days ago

Job description

OPPO AI Center is seeking a passionate AI Engineer to help build next-generation AI products and intelligent agent systems. In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that integrate text and vision capabilities. You will work closely with cross-functional teams to build scalable AI solutions and bring AI technologies into real-world products and user experiences.

Key Responsibilities:

Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs.

Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios.

Build and improve AI agent systems with capabilities such as memory management, context management, and tool usage for production AI applications.

Requirements

Minimum Qualifications:

Master's degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor's degree with 2+ years of industry experience in related areas.

Hands-on experience with LLM APIs and modern foundation models, with solid understanding of model trade-offs across quality, latency, scalability, and cost efficiency in real-world AI applications.

Strong understanding of prompt engineering, context engineering, AI agent architectures, memory and context management, and tool-calling workflows, with the ability to independently perform AI system evaluation, debugging, tuning, and optimization.

Preferred Qualifications:

Experience building and deploying AI agent systems, including tool-use agents, workflow automation agents, and multimodal AI applications in production environments.

Familiarity with modern AI frameworks and ecosystems such as LangChain, OpenAI API, Anthropic API, Gemini API, vector databases, RAG pipelines, and agent orchestration frameworks.

Strong problem-solving and communication skills, with the ability to rapidly prototype, iterate, and collaborate across research, engineering, and product teams in a fast-paced AI development environment.

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

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