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Language Model Engineer Jobs (NOW HIRING)

Nvidia

Senior Vision Language Model Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. The right person for this ...

Nvidia

Senior Vision Language Model Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. The right person for this ...

MUFG

AI Foundational Model Engineer

Jersey City, NJ · Hybrid

Large Language Models (LLMs) * Agentic AI Systems * Retrieval-Augmented Generation (RAG) * Embeddings * Semantic Search * Vector Databases * Prompt Engineering * Fine-Tuning Techniques Engineering ...

ECS

AI Model Engineer

Ashburn, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with ... Advance the application of vision-language and multimodal foundation models for analysis, retrieval ...

ECS

AI Model Engineer with Security Clearance

Fairfax, VA · On-site

$125K - $150K/yr

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with ... Advance the application of vision-language and multimodal foundation models for analysis, retrieval ...

Peraton

Large Language Model Specialist

$104K - $166K/yr

... large-language-model capabilities across a cloud-based analytics ecosystem. This role leads ... Partnering with engineering, product, and data teams, this position provides technical leadership ...

Socket.dev

AI Model Engineer

Ashburn, VA · On-site

$125 - $150/hr

Everforth ECS is seeking an AIModel Engineer to work in a hybrid remote/onsite capacity, with ... Advance the application of vision-language and multimodal foundation models for analysis, retrieval ...

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Language Model Engineer information

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How much do language model engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for language model engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What is a language model engineer?

Language Model Engineers are professionals who design, develop, and optimize machine learning models that process and generate human language. They work with large datasets and advanced algorithms to create models capable of understanding, interpreting, and producing text in natural language. Their role often involves training models, fine-tuning them for specific tasks, evaluating their performance, and deploying them in real-world applications such as chatbots, translation services, and AI assistants. These engineers typically have strong backgrounds in computer science, natural language processing (NLP), and deep learning.

What are the key skills and qualifications needed to thrive as a language model engineer?

To thrive as a Language Model Engineer, you need a solid background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with deep learning frameworks. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as knowledge of distributed computing systems, is essential. Strong problem-solving skills, collaboration, and effective communication help you work efficiently within multidisciplinary teams and tackle complex technical challenges. These combined abilities are crucial for developing, optimizing, and deploying advanced language models that drive innovation in AI-driven applications.

What are some common challenges faced by language model engineers when deploying large-scale models to production?

Language Model Engineers often encounter challenges related to scalability, latency, and resource optimization when deploying large-scale models. Ensuring models run efficiently in production may require techniques like model quantization, distillation, or partitioning to balance performance and computational cost. Additionally, maintaining model accuracy while addressing issues such as data drift and ensuring privacy compliance are ongoing concerns. Effective collaboration with infrastructure teams and continuous monitoring are crucial for long-term model stability.

What is the difference between Language Model Engineer vs Data Scientist?

AspectLanguage Model EngineerData Scientist
Required CredentialsComputer Science degree, ML certificationsStatistics, Data Analysis degrees
Work EnvironmentAI/ML teams, R&D labsData analysis teams, business units
Industry UsageDeveloping NLP models, AI productsData analysis, predictive modeling
Common Search/ComparisonFocus on language models, NLPFocus on data insights, analytics

While both roles involve working with data and algorithms, Language Model Engineers specialize in developing and optimizing NLP models like chatbots and language understanding systems. Data Scientists analyze data to extract insights and build predictive models. The roles often collaborate but differ in focus: one on model development, the other on data analysis.

What cities are hiring for Language Model Engineer jobs?

Cities with the most Language Model Engineer job openings:

What states have the most Language Model Engineer jobs?

States with the most job openings for Language Model Engineer jobs include:

What are popular job titles related to Language Model Engineer jobs?

For Language Model Engineer jobs, the most frequently searched job titles are:

Infographic showing various Language Model Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

Senior Vision Language Model Engineer

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$122K - $168K/yr

Full-time

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. The right person for this role brings technical innovation and collaborative culture to change the way NVIDIA builds dataset search platforms for physical AI developers. Our dataset search offerings are ease to use, performant and scalable. Your work will redefine the dataset search and model training capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI.

What you'll be doing:

  • Partner with our researchers to develop and evaluate prototypes of our latest models, such as VLMs and VLAs, for video search, video understanding, and more. Enable fundamental advances in autonomous driving, healthcare, and robotics.

  • Design and implement agentic data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity.

  • Build, curate, and maintain highquality multimodal datasets (e.g., video, sensor, language/action traces) tailored for endtoend physical AI problems, such as autonomous driving.

  • Explore and productize new data sources including simulation and synthetic data.

  • Use agentic AI workflows across the full applied research lifecycle.

  • Collaborate with research, model development, performance, and product teams.

  • Contribute to NVIDIA Cosmos Dataset Search and other core NVIDIA platforms and products.

What we need to see:

  • PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field

  • Strong background in modern deep learning, including transformerbased architectures, video modeling, and multimodal VLM/VLA or foundation models.

  • Excellent experience training and deploying deep learning models on realworld datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.

  • Excellent experience with python and at least one deep learning framework.

  • Current with the latest research on image and video search in autonomous vehicles, healthcare, robotics, or related physical AI applications.

  • Fluent with agentic AI workflows across the full applied research lifecycle, including prototyping novel algorithms and search pipelines, benchmarking, and integrating prototypes in production codebases.

  • Clear and effective communication skills, with experience working well in a dynamic, product- and research-focused team.

Ways to Stand Out from the Crowd:

  • Strong track record publishing in top-tier conference such as CVPR, NeuRIPS, ICML, ECCV

  • Patents in video retrieval or related field

  • Strong coding architecture skills demonstrated through contributions to large internal or open-source projects.

  • Experience in robotic systems such as autonomous vehicles or humanoid robotics.

Come join us at NVIDIA and contribute to a team that is pushing the edges of what can be done in AI and computer vision. We're looking for candidates who are innovative, ambitious, and ready to leave a lasting mark on the world!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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