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Remote Generative Ai Engineer Jobs in California

NYFA

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Instructors guide students through the practical and creative applications of generative AI tools ... Remote instruction and project-based learning * Collaborative creative environment New York Film ...

Noor Staffing Group

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

Lead AI Engineer, Mortgage Automation About the Company We're a fast growing mortgage lender using ... Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ...

SolGenie

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... Engineer to design and implement real-world Generative AI solutions across enterprise use cases.

Noor Staffing Group

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

Lead AI Engineer, Mortgage Automation About the Company We're a fast growing mortgage lender using ... Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ...

LinkedIn

Staff AI Engineer

Mountain View, CA · On-site +1

As a Staff AI Software Engineer you will own end-to-end machine learning systems that run in ... source generative models and GPU inference. We encourage staying up to date on industry ...

Pinterest

Principal Engineer, AI Platform

San Francisco, CA · On-site +1

$242K - $499K/yr

Generative AI: multimodal data management, post-training, evaluation, and batch/online inference ... Palo Alto, CA or San Francisco, CA. #LI-REMOTE #LI-AH2 At Pinterest we believe the workplace should ...

Secret Level

Creative Engineer

Los Angeles, CA · On-site +1

Design and build end-to-end generative workflows using modern AI tools and APIsDevelop new creative capabilities using platforms like ComfyUI, Kling, Google Veo, Seedance, Higgsfield, and Nano Banana

LinkedIn

Senior AI Engineer

Mountain View, CA · On-site +1

$144K - $236K/yr

As a Senior AI Software Engineer you will own end-to-end machine learning systems that run in ... source generative models and GPU inference. We encourage staying up to date on industry ...

Jade Global

Software AI Engineer

San Jose, CA · Remote

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

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Remote Generative Ai Engineer information

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

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

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

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 Remote Generative Ai Engineer jobs in California?

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

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

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

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

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

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Cinematic AI Specialist

NYFA

Burbank, CA • On-site, Remote

$55 - $75/hr

Part-time

Re-posted 27 days ago

Job description

Position Overview

Seeking an experienced and innovative instructor to teach within a four-week online intensive focused on cinematic AI, generative design, and emerging creative technologies. The program is designed for students and professionals working across filmmaking, content creation, advertising, media arts, marketing, publishing, and related creative industries. Instructors guide students through the practical and creative applications of generative AI tools, machine learning, and hybrid production workflows while helping them understand how these technologies are reshaping modern media production.

Key Responsibilities
  • Teach engaging online classes, workshops, and critiques.
  • Introduce students to AI-powered creative workflows and production tools.
  • Provide mentorship, feedback, and project guidance.
  • Demonstrate industry applications of generative AI in media and storytelling.
  • Support student understanding of professional, ethical, and legal considerations surrounding AI-generated content.
  • Collaborate with program leadership to maintain curriculum quality and relevance.
Required
  • Professional experience in filmmaking, media arts, design, creative technology, or related industries.
  • Experience using generative AI tools and workflows.
  • Strong communication and instructional skills.
  • Ability to teach both creative concepts and technical processes in an accessible way.
Preferred
  • Teaching or mentorship experience.
  • Familiarity with diffusion models, generative video, multimodal AI tools, or machine learning workflows.
  • Background in entertainment, digital media, or content production.
  • AI Platforms and Model Familiarity: Comfy.ui (A bonus), Gemini Flash (Nano Bannana), Seedance, VEO, LUMA (Video to Video especially), Flux, Grok (Video), Chatgpt (Images II, and LLM), LoRA training
  • Knowledge of Adobe Photoshop, Premiere, Nuke (or After Effects/Fusion) and basic camera knowledge
Student Learning Outcomes

Students completing the program will gain hands-on experience with cinematic AI workflows and develop practical skills in AI-assisted storytelling, visual development, production integration, and creative direction. They will also gain a foundational understanding of professional standards and emerging practices within AI-driven media production.

Instructional Format
  • Four-week online intensive
  • Remote instruction and project-based learning
  • Collaborative creative environment

New York Film Academy (“NYFA”) is an equal opportunity employer. Prospective employees will receive consideration without discrimination because of race, creed, color, sex, gender, gender expression, gender identity, sexual orientation, age, religion, national origin, ancestry, mental disability, physical disability, medical condition, genetic information, marital status, military and veteran status, or any other basis protected by law.

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