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Creative Technology Jobs in California (NOW HIRING)

Snowflake

Creative Technologist, Brand AI

Menlo Park, CA · On-site

$148K - $194K/yr

This role sits at the intersection of creative technology, brand systems, AI innovation, and workflow design, reporting to the Director of Brand Strategy and AI Innovation. WHAT YOU'LL DO Explore and ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 4

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Fuser

Creative Solutions Manager

Los Angeles, CA · On-site

$4.0K - $6.0K/mo

Proven experience in production, creative technology, or SaaS sales * Understanding of how media and content are produced-from concept to delivery * Fluency with creative tools ( Adobe Suite, Figma ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 4

Los Angeles, CA

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 4

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 4

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

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How much do creative technology jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for creative technology in California is $48.49, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $50.77 per hour, depending on experience, location, and employer.

What is a Creative Technology?

A Creative Technology job blends technology and creativity to develop innovative digital experiences, products, and solutions. Professionals in this field work at the intersection of design, coding, and emerging technologies like AI, AR/VR, and interactive media. They collaborate with designers, developers, and strategists to create engaging and meaningful user experiences. Creative Technologists often prototype ideas, experiment with new tools, and push the boundaries of how technology can be used in art, marketing, and product development.

What skills and qualifications are needed for a creative technology role?

To thrive in Creative Technology, you need a blend of technical proficiency in programming, digital media, and interactive design, usually backed by a degree in computer science, design, or a related field. Familiarity with creative tools like Adobe Creative Suite, 3D modeling software, programming languages such as JavaScript or Python, and experience with AR/VR platforms or prototyping tools is highly valued. Strong communication, problem-solving, and teamwork skills help you collaborate effectively with both creative and technical teams. These abilities are crucial for developing innovative digital experiences that bridge the gap between technology and creative vision.

What are common challenges in a creative technology role, and how can I prepare for them?

Professionals in Creative Technology often navigate the difficulty of balancing artistic vision with technical feasibility, working within project timelines and resource constraints. You may also face rapid changes in technology and emerging tools, which requires continuous learning. Preparing for these challenges involves honing both your technical and creative problem-solving skills, staying current with industry trends, and being adaptable to shifting project requirements. Collaborating with cross-disciplinary teams is essential, so strong communication and openness to feedback will help you thrive in this dynamic environment.

What are some creative technology jobs?

Creative technology jobs include roles such as creative technologist, interactive developer, multimedia artist, and digital designer. These positions often require skills in programming, design, and familiarity with tools like Adobe Creative Suite, Unity, or Max/MSP, and may involve working on projects like installations, virtual reality experiences, or digital media content.

What can you do with a creative technology degree?

A creative technology degree prepares individuals for roles that combine creativity and technical skills, such as multimedia artist, interactive designer, or digital product developer. Graduates often work with tools like Adobe Creative Suite, programming languages, and hardware to develop innovative digital experiences across industries like entertainment, advertising, and education.

What are the most commonly searched types of Creative Technology jobs in California?

The most popular types of Creative Technology jobs in California are:

What are popular job titles related to Creative Technology jobs in California?

For Creative Technology jobs in California, the most frequently searched job titles are:

What job categories do people searching Creative Technology jobs in California look for?

The top searched job categories for Creative Technology jobs in California are:

What cities in California are hiring for Creative Technology jobs?

Cities in California with the most Creative Technology job openings:

Creative Technology jobs near you
Infographic showing various Creative Technology job openings in California as of August 2026, with employment types broken down into 70% Full Time, 22% Part Time, 2% Temporary, and 6% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $100,869 per year, or $48.5 per hour.

Inference Specialist, Creative Technology - InterPositive

Netflix

Los Angeles, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology and support the Production, Research, and Engineering teams working at the frontier of storytelling innovation. This role owns the practical execution of model inference workflows, translating creative needs into reproducible runs, debugging complex generation issues, and helping build reliable pipelines by turning rapidly evolving research code into reliable creative production workflows.
The ideal candidate is deeply technical, operationally calm, and comfortable working in an R&D environment where models, infrastructure, datasets, and creative expectations change quickly.
Responsibilities:
  • Operate and support custom generative AI inference workflows across a wide variety of film and series projects
  • Run, monitor, and troubleshoot GPU-based inference jobs across local workstations, cloud infrastructure, and/or cluster environments, including distributed multi-GPU runs
  • Prepare and validate inputs for model inference, including video, image, audio, masks, conditioning assets, prompts, metadata, and configuration files
  • Tune inference parameters in collaboration with Creative Technology leadership, artists, researchers, and engineers to achieve production-quality results
  • Debug failed or degraded runs by inspecting logs, outputs, configs, model checkpoints, data shapes, masks, frame ranges, codecs, GPU utilization, and environment issues
  • Maintain clean, repeatable inference launch workflows, including scripts, config templates, run manifests, output naming conventions, and result tracking
  • Partner with researchers and engineers to test new models, checkpoints, samplers, conditioning methods, and pipeline changes in real production scenarios
  • Translate experimental model capabilities into usable production practices
  • Identify friction in inference workflows and drive improvements through tooling, automation, documentation, and better defaults
  • Support rapid iteration with artists and creative stakeholders by preparing outputs for review, comparing variations, tracking parameters, and surfacing clear recommendations
  • Own quality control for generated outputs
  • Help bridge communication between creative, production, research, and engineering teams by explaining technical constraints and creative tradeoffs clearly
  • Maintain awareness of GPU capacity, queue status, runtime expectations
  • Contribute to a culture of practical experimentation: move quickly, test carefully, document learnings, and turn one-off fixes into repeatable workflows

Qualifications:
  • 4+ years of relevant experience in machine learning production, VFX technology, post-production engineering, creative technology, technical direction, or a closely related technical production role
  • Hands-on experience running GPU-based model inference for image, video, audio, or multimodal generative AI systems
  • Experience working with Python-based ML codebases and command-line workflows in Linux environments
  • Experience debugging production runs using logs, stack traces, configuration files, model inputs, and generated outputs
  • Working knowledge of deep learning inference concepts, including checkpoints, schedulers or samplers, seeds, precision, batching, conditioning, and GPU memory constraints
  • Experience with video and image production formats, including frame sequences, ProRes, H.264/H.265, EXR, PNG, MP4/MOV containers, resolution handling, frame rates, and colorspace considerations
  • Experience coordinating technical work across creative, production, research, and engineering stakeholders
  • Demonstrated ability to operate effectively in a fast-moving R&D environment where tools, models, and workflows change frequently

Skills:
  • Strong practical understanding of generative AI inference workflows, especially for video, image, audio, or multimodal models
  • Comfort working in Linux shells, Python environments, Git repos, config files, logs, and GPU infrastructure
  • Strong debugging instincts: able to isolate whether a problem is data, model, environment, code, infrastructure, or user configuration
  • Ability to reason about video and tensor fundamentals, including frame counts, aspect ratios, spatial resolution, temporal alignment, masks, channels, and batch dimensions
  • Experience with tools and libraries commonly used in production ML workflows, such as PyTorch, CUDA, ffmpeg, OpenCV, NumPy, safetensors, and distributed launch tools
  • Comfort with job schedulers, cloud GPU environments, or cluster workflows; Slurm experience is a strong plus
  • Careful eye for generated output quality, including temporal artifacts, mask errors, motion issues, color shifts, compression problems, and sync problems
  • Able to balance creative iteration speed with technical rigor, reproducibility, and clear communication
  • Self-directed and ownership-minded; comfortable seeing a messy problem, creating a path through it, and pulling in help when needed
  • Collaborative and calm under pressure, especially when supporting time-sensitive creative reviews or production deadlines
  • Strong written communication, including the ability to document workflows, summarize test results, and explain technical findings to non-technical partners
  • Comfort with ambiguity, rapidly changing tools, and incomplete information
  • Genuine interest in tooling for filmmakers, with the curiosity to engage deeply with both the creative possibilities and the engineering realities of the work

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $165,000.00 - $265,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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