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Audio Post Production Engineer Jobs in California

Support broadcast networking infrastructure, including Audio over IP (AoIP), production networking, and signal transport. * Partner with production teams to ensure engineering systems reliably ...

This includes competency in video, audio, lighting, networking, broadcast, and communications ... Ability to deliver post-production VOD outputs Generally, our compensation structure consists ...

This includes competency in video, audio, lighting, networking, broadcast, and communications ... Ability to deliver post-production VOD outputs Generally, our compensation structure consists ...

Post-production tasks may include reviewing footage, making editorial decisions, rough cuts, audio adjustment, and color correction. * Minimal travel to tradeshows within the United States to capture ...

This includes competency in video, audio, lighting, networking, broadcast, and communications ... Ability to deliver post-production VOD outputs Generally, our compensation structure consists ...

Showing results 21-40

Audio Post Production Engineer information

See California salary details

$10.9K

$47.7K

$124.8K

How much do audio post production engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for audio post production engineer in California is $47,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,200.00 and $60,200.00 per year, depending on experience, location, and employer.

What does an audio post production engineer do?

An Audio Post Production Engineer is responsible for editing, mixing, and mastering audio tracks for film, television, video games, and other media projects after the initial recording has been completed. Their work includes cleaning up dialogue, adding sound effects, balancing audio levels, and ensuring that the final sound meets the project's creative and technical requirements. They use specialized software and equipment to deliver polished, professional-quality audio that enhances the overall production. Collaboration with directors, producers, and sound designers is common to achieve the desired result.

What challenges do audio post production engineers face when working on tight project deadlines?

Audio Post Production Engineers often work under tight deadlines, which can present challenges such as managing last-minute client revisions and ensuring high-quality sound within limited time frames. Balancing multiple projects simultaneously requires strong organizational skills and the ability to prioritize tasks efficiently. Additionally, collaborating closely with directors, editors, and other team members means that clear communication is essential to quickly resolve issues and maintain workflow continuity. Being adaptable and proactive in troubleshooting technical problems is also key to meeting deadlines without compromising audio quality.

What is the difference between Audio Post Production Engineer vs Sound Designer?

AspectAudio Post Production EngineerSound Designer
CredentialsTypically holds a degree in audio engineering or related fieldOften has a background in audio design, music, or sound arts
Work EnvironmentPost-production studios, film, TV, and advertisingFilm sets, game development, multimedia projects
Industry UsageUsed in film, TV, and commercial post-productionUsed in film, video games, and multimedia design

While both roles involve working with sound, an Audio Post Production Engineer focuses on editing, mixing, and mastering audio for media projects, ensuring technical quality. A Sound Designer creates and manipulates sound effects and audio elements to shape the auditory experience, often working earlier in the production process. Understanding these differences helps clarify career paths and job expectations in the audio industry.

What skills and qualifications are needed to be an audio post production engineer?

To thrive as an Audio Post Production Engineer, you need expertise in audio editing, mixing, and sound design, typically supported by a degree in audio engineering or related experience. Proficiency with digital audio workstations (DAWs) like Pro Tools, sound libraries, and industry-standard plugins is essential. Strong attention to detail, creativity, and effective communication skills help you collaborate with directors and producers to achieve the desired sound. These skills and qualities are crucial to ensure high-quality audio that enhances the overall impact and professionalism of film, television, or multimedia projects.
What are popular job titles related to Audio Post Production Engineer jobs in California? For Audio Post Production Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Audio Post Production Engineer jobs in California look for? The top searched job categories for Audio Post Production Engineer jobs in California are:
Infographic showing various Audio Post Production Engineer job openings in California as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $47,705 per year, or $22.9 per hour.

Applied Researcher, Audio Post-Training

Cartesia

San Francisco, CA โ€ข On-site

$200K - $350K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

About Cartesia
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
On the Audio Post-Training team, you'll be building and improving the capabilities that define how the rest of the world interacts with our generative audio models. This team is where customer needs meet research, and covers the full spectrum of modeling from ideation through productionization. On any given day, you might design evaluations to reliably measure new capabilities, build processing pipelines to improve data quality, experiment with finetuning and reinforcement learning approaches to refine model behavior, and more.
This role is broad, and cross functional. Members of this team should combine broad research experience with a deep care about building to solve for customer needs and a strong sense of end-to-end ownership. You should be excited to synthesize customer complaints into a holistic understanding of capability gaps, to drive research efforts across data, model training, and evaluation to close those gaps, and to communicate those improvements to product and customer stakeholders. Ultimately, you will be responsible for creating the model experience that the rest of the world sees.
Your Impact
  • Collaborate with product teams to understand and prioritize customer asks
  • Cut through the ambiguity of vaguely described behavioral problems to make concrete research plans.
  • Ideate and experiment across the full modeling stack, including data processing, synthetic data, SFT, RL, and evals to solve for high priority model capabilities
  • Root cause failures in production models and understand how to fix them in future model iterations
  • Decide which features and capabilities are ready for public launch

What You Bring
  • Strong fundamentals in software engineering, machine learning, debugging complex systems, and the ability + desire to learn quickly.
  • Experience building and ensuring quality of large multilingual datasets.
  • Experience training and debugging generative models (speech, text, or multimodal), especially SFT, RL, synthetic data, and evaluation (both human and automated).
  • Excitement about solving problems grounded in real customer needs, not just benchmarks.
  • Bonus points if you have native proficiency in other languages!

Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
More Details
In-office policy: We're an in-person team based out of offices in S San Francisco, GB London and I Bangalore. We love being in the office, hanging out together, and learning from each other every day.
Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way.
We support each other. We have an open & inclusive culture that's focused on giving everyone the resources they need to succeed.
Our Benefits (US Employees Only)
Compensation Competitive base salary alongside attractive equity package.
Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
Parental Leave 9 weeks paternity & 12 weeks maternity leave
401(k)
Commuter Allowance A monthly stipend to help you get to and from the office.
Flexible PTO Take as much time as you need to recharge your batteries.
Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
Your own personal Yoshi
Our Commitment to Equal Opportunity
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.