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Full Time Large Language Model Llm Jobs (NOW HIRING)

Pearson Education

Staff Software Engineer - AI

Hoboken, NJ · On-site

$150K - $165K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design ... The full-time salary range for this role is between $150,000 - $165,000 This position is eligible ...

Pearson

Staff Software Engineer - AI

Hoboken, NJ · Hybrid

$150K - $165K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design ... The full-time salary range for this role is between $150,000 - $165,000 This position is eligible ...

Nvidia

OR

$98.40K - $125.40K/yr

We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the ...

Pearson

Staff Software Engineer - AI

Hoboken, NJ · Hybrid

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design ... The full-time salary range for this role is between $150,000 - $180,000 This position is eligible ...

Pearson

Staff Software Engineer - AI

Hoboken, NJ · Hybrid

$160K - $175K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design ... The full-time salary range for this role is between $160,000 - $175,000 This position is eligible ...

Purple Drive Technologies

Gen AI architect

Mclean, VA · On-site

$63.75 - $84/hr

Lead the implementation of Large Language Model (LLM)-based systems and GenAI-powered applications. * Design and implement AI agents using frameworks such as LangChain. * Develop and integrate Model ...

Virtusa Corporation

Python Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Evaluate, integrate, and work with Large Language Model (LLM) frameworks. * Collaborate with data scientists and business stakeholders to understand data requirements and translate them into ...

Pearson Education

Staff Software Engineer - AI

Hoboken, NJ · On-site

$160K - $175K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design ... The full-time salary range for this role is between $160,000 - $175,000 This position is eligible ...

Virtusa

Python Data Engineer

Tampa, FL

$108.20K - $129.90K/yr

Evaluate, integrate, and work with Large Language Model (LLM) frameworks. * Collaborate with data scientists and business stakeholders to understand data requirements and translate them into ...

Garmin International, Inc.

Senior Software Engineer

Olathe, KS · On-site

$118.60K - $156.40K/yr

Overview We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the ... large language model (LLM) capabilities across Garmin. You will partner closely with Data ...

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How much do full time large language model llm jobs pay per hour?

As of May 31, 2026, the average hourly pay for full time large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is the difference between Full Time Large Language Model Llm vs Data Scientist?

AspectFull Time Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics teams, research departments, tech firms
Industry UsageAI product development, NLP applications, machine learning researchData analysis, predictive modeling, business insights

While both roles require strong technical skills and familiarity with data and algorithms, Full Time Large Language Model Llm specialists focus on developing and fine-tuning AI models like NLP systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles often overlap in skills but differ in primary focus and application.

More about Full Time Large Language Model Llm jobs
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What job categories do people searching Full Time Large Language Model Llm jobs look for? The top searched job categories for Full Time Large Language Model Llm jobs are:
Full Time Large Language Model Llm jobs near you
Infographic showing various Full Time Large Language Model Llm job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 64% Physical, 5% Hybrid, and 31% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.
Senior Research Scientist, Post-Training LLM and DLM

Senior Research Scientist, Post-Training LLM and DLM

Nvidia Corporation

Santa Clara, CA • On-site

$115.70K - $147.40K/yr

Full-time

Posted 13 days ago

Job description

We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the future of large-scale generative AI? NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale. Our team is dedicated to advancing post-training algorithms, building efficient large-scale systems, and developing evaluation frameworks to ensure reliability and scalability. Join us to work with world-class researchers and engineers on building the next generation of AI.
What you will be doing:
  • Designing and implementing post-training algorithms LLMs and DLMs.
  • Driving efficiency and scalability improvements across training pipelines and serving systems
  • Collaborating with researchers to translate cutting-edge ideas into production-ready implementations.
  • Exploring new paradigms for evaluation.
  • Demonstrating strong engineering practices, and contributing to open-source communities.

What we need to see:
  • PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.
  • 2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training.
  • Proficiency in Python with hands-on experience in frameworks such as PyTorch.
  • Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming.
  • Proven ability to collaborate across research and engineering teams in multifaceted environments.

Ways to stand out from the crowd:
  • Expertise in post-training LLMs with novel algorithmic/data pipelines
  • Experience developing andscaling large distributed systems for deep learning.
  • Contributions to open-source LLM systems or large-scale AI infrastructure.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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