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Large Language Model Llm Jobs in California (NOW HIRING)

Lead the design, development, and optimization of Large Language Models for wearable device applications * Set technical direction for LLM-related research projects involving 3-4 researchers and ...

Power Systems AI/ML Engineer

Irvine, CA · On-site

$87K - $125K/yr

Develop and integrate large language model (LLM)-based assistants to enhance user experience and reduce engineering workload. * Work with data teams to curate training datasets, perform model ...

Develop and integrate large language model (LLM)-based assistants to enhance user experience and reduce engineering workload. * Work with data teams to curate training datasets, perform model ...

Showing results 41-60

Large Language Model Llm information

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with large language model?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs for applications like chatbots, content generation, and language understanding, often requiring skills in programming, data analysis, and deep learning frameworks.

What are the most commonly searched types of Large Language Model Llm jobs in California?

The most popular types of Large Language Model Llm jobs in California are:

What job categories do people searching Large Language Model Llm jobs in California look for?

The top searched job categories for Large Language Model Llm jobs in California are:

What cities in California are hiring for Large Language Model Llm jobs?

Cities in California with the most Large Language Model Llm job openings:

Infographic showing various Large Language Model Llm job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Research Engineer - The Diffusion LLM Team

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $400K/yr

Full-time

Re-posted 9 days ago


Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
As a member of the Diffusion LLM Team at MBZUAI, you will play a central role in designing, building, and releasing industrial-scale Diffusion Large Language Models. Our team has two core missions. First, we develop and release diffusion-based LLMs that push the speed-quality frontier at scale by matching autoregressive model quality while enabling faster generation. Second, we improve inference-time scaling relative to standard LLMs, so that additional test-time compute translates into higher-quality samples.
You will work closely with researchers and engineers across architecture, training, and infrastructure to turn research ideas into high-impact model releases for next-generation LLMs.
Key Responsibilities
  • Design, train, and scale large language models for research and real-world deployment.
  • Lead or contribute to the release of industrial-scale diffusion language models.
  • Develop and evaluate training strategies and objectives for efficient model scaling.
  • Publish research findings and contribute to open-source model and code releases.

Academic Qualifications
MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.
Professional Experience
  • Hands-on experience training large models using modern deep learning frameworks at scale.
  • Strong background in transformer architectures and large-scale optimization techniques.
  • Demonstrated expertise in LLM pre-training or post-training, with a strong focus on model scaling.
  • Research track record evidenced by publications, open-source contributions, or released models.
  • Knowledge of diffusion models or discrete diffusion methods is a plus, but not required.
  • Ability to work independently while contributing effectively to a collaborative research team.

$150,000 - $400,000 a year
Salary Range
The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.