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Full Time Nlp Engineer Jobs (NOW HIRING)

Lead AI Engineer

$104K - $138K/yr

Remote Full-Time Role Overview: As an AI Engineer at you will design, build, and deploy production ... Implement machine learning models (classification, regression, NLP, time-series, generative AI)

GEN AI Engineer II

Phoenix, AZ ยท On-site

$114K - $137K/yr

... NLP In-depth knowledge of machine learning alogrithms, software architecture, libraries and ... Employment Type: FULL_TIME

Lead Machine Learning Engineer

Millbrae, CA ยท On-site +1

$119K - $156K/yr

Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ... Anywhere in US Job Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa ...

Requirements Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow ... Employment Type: FULL_TIME

Lead Machine Learning Engineer

Millbrae, CA

$119K - $156K/yr

Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

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 ...

Showing results 21-40

Full Time Nlp Engineer information

See salary details

$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:
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.

Senior Machine Learning Engineer

Child Mind Institute

Manhattan, NY โ€ข On-site

$118K - $148K/yr

Full-time

Medical, Retirement

Re-posted 14 days ago


Job description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.


Position Details:

As the Senior Machine Learning (ML) Engineer, you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools.

This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor.

You Will:

● Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field.

● Perform analyses on large datasets using high-performance computing infrastructures.

● Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools.

● Develop and maintain data pipelines for training, evaluating, and deploying models.

● Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods.

● Ensure data quality, security, and compliance with privacy regulations.

● Perform additional job-related duties as assigned.


You Have:

● Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience.

● 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).

● 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.

● 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).

● 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).

● Experience can be concurrent with education.


Our Benefits


Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.


Pay Range

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.


#LI-on-site, #LI-hybrid


EEO Disclaimer

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.


We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.


In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).


Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org


This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.