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Creative Generative Ai Jobs (NOW HIRING)

Adobe

Sr Applied Scientist, Generative AI/ML

Seattle, WA

$142K - $270K/yr

Collaborate with world-class researchers and ML engineers to bring research ideas to creative ... Research or industry experience in training Generative AI models (pre-training and/or post-training ...

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$90.3K

$138K

How much do creative generative ai jobs pay per year?

As of Jul 2, 2026, the average yearly pay for creative generative ai in the United States is $90,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI development, strategy, and implementation in large organizations or tech companies, and often offer high compensation packages reflecting their seniority and impact.

Is generative AI a good career?

A career in generative AI as a creative AI specialist involves developing models that produce content such as images, text, or music, often requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with increasing demand for AI expertise across industries, offering opportunities for innovation and advancement. However, it requires continuous learning to keep up with evolving technologies and tools like neural networks and deep learning frameworks.

What is the difference between Creative Generative Ai vs Graphic Designer?

AspectCreative Generative AiGraphic Designer
CredentialsTypically no formal credentials required, but knowledge of AI tools helpfulUsually holds a degree or certification in graphic design or related field
Work EnvironmentPrimarily digital, often remote, working with AI platforms and softwareOffice or studio settings, working with clients and design software
Industry UsageUsed in tech, marketing, advertising for automated content creationUsed across advertising, branding, publishing, and media

Creative Generative Ai focuses on using AI algorithms to generate creative content automatically, while Graphic Designers apply their artistic skills to create visual designs manually. Both roles serve creative industries but differ in tools, processes, and skill requirements.

What is creative generative AI?

Creative generative AI refers to artificial intelligence systems that produce original content such as images, music, text, or videos. These models, often based on deep learning techniques like generative adversarial networks (GANs) or transformer architectures, are used by professionals to assist in creative tasks and content creation. Working in this field typically requires skills in machine learning, programming, and familiarity with AI tools and frameworks.

What are the key skills and qualifications needed to thrive as a Creative Generative AI Specialist, and why are they important?

To thrive as a Creative Generative AI Specialist, you need a strong background in computer science, machine learning, and digital art, often supported by a relevant degree or portfolio of AI-driven creative projects. Familiarity with tools like TensorFlow, PyTorch, generative adversarial networks (GANs), and creative coding platforms is typically required. Creativity, collaboration, and strong problem-solving abilities help you innovate and communicate ideas effectively within multidisciplinary teams. These skills are crucial for producing compelling AI-generated content and pushing the boundaries of technology-driven creativity.

What creative jobs is AI taking over?

AI is increasingly automating creative roles such as graphic design, content writing, video editing, and music composition. Creative professionals are now using AI tools like generative art software and language models to enhance productivity and generate ideas, which can reduce the demand for manual tasks in these fields.

What is a Creative Generative AI?

A Creative Generative AI refers to artificial intelligence systems designed to produce original content, such as images, music, text, or videos, based on patterns learned from large datasets. These AI models, like GPT or DALL-E, use deep learning techniques to generate new and unique creative works that mimic or expand upon human creativity. They are widely used in industries like art, advertising, entertainment, and design to enhance and accelerate creative processes. Creative Generative AI tools can assist professionals by automating routine tasks, providing inspiration, or even collaborating on creative projects.

How do Creative Generative AI professionals typically collaborate with designers and other creative team members?

Creative Generative AI professionals often work closely with designers, writers, and marketing teams to integrate AI-generated content into creative projects. Collaboration usually involves brainstorming sessions to align on project goals, followed by iterative development where AI models are trained or fine-tuned based on feedback from the creative team. Effective communication is key, as these professionals must translate technical possibilities into creative solutions and ensure that AI-generated outputs match the desired artistic vision. Regular feedback loops and collaborative prototyping are common, making teamwork an essential part of the role.
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Creative Generative Ai jobs near you

Lead Machine Learning Engineer, Ads Research

Disney Entertainment and ESPN Product & Technology

Seattle, WA

$116K - $153K/yr

Full-time

Posted 26 days ago

Job description

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

  • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 
  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies.  Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows.  Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations.

Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation.

We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications.

WHAT YOU’LL DO

  • Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications.
  • Create, evaluate, improve, optimize technologies
  • Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
  • Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles.
  • Design, build, and scale robust ML systems that power core ad platform capabilities
  • Champion engineering excellence through best practices in code quality, system design, and operational reliability.
  • Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.

WHAT TO BRING

  • Bachelor's in computer science or equivalent experience.
  • Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows.  For example: experience with diffusion models, flow models, similar generative techniques, agentic applications, etc.
  • Very strong interest to self-teach via publications and training resources in generative modeling including in generative video and diffusion modeling.
  • Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes.  Must include an appreciation for the importance of rigorous quality evaluation processes.
  • Experience developing language-processing applications via LLMs or agentic flows.
  • Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc.
  • Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems.
  • Strong knowledge of AI/ML technologies, mathematics and statistics.
  • Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.
  • Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL
  • Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc.
  • Expert knowledge with traditional (tabular) ML modeling and methods.
  • Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures.
  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment.
  • Experience working closely with UX and front end designers building production generative AI products.

NICE-TO-HAVES

  • MS or PhD (preferred) in computer science or equivalent experience.
  • Experience with multimodal models and embedding techniques.
  • Computer vision or visual content understanding experience.
  • Experience in digital video advertising or digital marketing domain. 
  • Diffusion model or generative AI controls research experience.  (Otherwise strong interest to learn).

Location: Seattle / Santa Monica / Glendale

#DISNEYTECH


The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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