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Generative Ai Engineer Jobs in California (NOW HIRING)

Numos AI

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for ... Experience working with LLMs and generative AI systems * Strong Python skills with frameworks like ...

Avathon

AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

About the Role Senior AI Engineer - Generative AI & LLMs At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain ...

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Generative Ai Engineer information

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$37.5K

$114.3K

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How much do generative ai engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for generative ai engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in California?

The most popular types of Generative Ai Engineer jobs in California are:

What are popular job titles related to Generative Ai Engineer jobs in California?

For Generative Ai Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in California look for?

The top searched job categories for Generative Ai Engineer jobs in California are:

What cities in California are hiring for Generative Ai Engineer jobs?

Cities in California with the most Generative Ai Engineer job openings:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

AI/ML Engineer - Generative AI

Advanced Micro Devices, Inc

San Jose, CA • On-site

$210K/yr

Full-time

Re-posted 17 days ago

Key responsibilities

  • Develop, train, fine-tune, and optimize Generative AI models for image generation and visual content creation.

  • Design and implement diffusion models, multimodal architectures, and advanced machine learning algorithms.

  • Build scalable training and inference pipelines leveraging high-performance GPU computing.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE
AMD is seeking an experienced AI/ML Engineer to join our Applied Research and Engineering team focused on advancing the next generation of Generative AI technologies. In this role, you will develop and optimize state-of-the-art AI models for image generation, diffusion-based learning, and multimodal applications that push the boundaries of visual computing. You will work alongside industry-leading researchers, software engineers, and hardware architects to build innovative AI solutions that leverage AMD's latest GPU technologies and accelerate the future of content creation, graphics, and intelligent computing.
THE PERSON
The ideal candidate is passionate about Generative AI, machine learning, and developing cutting-edge models that solve complex real-world problems. You are comfortable working in a fast-paced research and engineering environment, possess strong software development skills, and enjoy collaborating across multidisciplinary teams. You have a deep understanding of modern AI architecture and are excited about translating research into production-scale solutions.
KEY RESPONSIBILITIES
  • Develop, train, fine-tune, and optimize Generative AI models for image generation and visual content creation.
  • Design and implement diffusion models, multimodal architectures, and advanced machine learning algorithms.
  • Build scalable training and inference pipelines leveraging high-performance GPU computing.
  • Evaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.
  • Collaborate with research, software, and hardware teams to integrate AI innovations into AMD technologies.
  • Optimize AI workloads for AMD GPU architectures and contribute to performance analysis and improvements.
  • Stay current with emerging advancements in Generative AI, image synthesis, diffusion models, and large-scale machine learning.

PREFERRED EXPERIENCE
  • Strong software development experience in Python and C++.
  • Deep understanding of machine learning, deep learning, and neural network architectures.
  • Experience developing and training diffusion models, image generation models, GANs, transformers, or multimodal AI systems.
  • Hands-on experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks.
  • Experience fine-tuning and deploying large-scale AI models.
  • Familiarity with distributed training, model optimization, and GPU acceleration techniques.
  • Experience building AI training and inference pipelines in production environments.
  • Knowledge of computer vision, image synthesis, and multimodal learning techniques.
  • Experience with MLOps, CI/CD workflows, Git, and modern software engineering practices.
  • Experience leveraging AI coding assistants, agentic AI systems, or automated development workflows.
  • Strong communication, collaboration, and problem-solving skills.

ACADEMIC CREDENTIALS
Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field preferred.
LOCATION: San Jose, California
#LI-JE1
This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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