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Audio Engineer Internship Jobs in California (NOW HIRING)

NOT looking for candidates who have only tested Bluetooth, Audio, Car Play, Android Auto, etc. โ€ข ... internships or coops as part of that experience). โ€ข 2 1โ„2 years of experience with CAN โ€ข ...

NOT looking for candidates who have only tested Bluetooth, Audio, Car Play, Android Auto, etc. โ€ข ... internships or coops as part of that experience). โ€ข 2 1โ„2 years of experience with CAN โ€ข ...

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Audio Engineer Internship information

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$10

$19

$29

How much do audio engineer internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for audio engineer internship in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

Do audio engineer interns get paid?

Audio engineer internships can be paid or unpaid depending on the company and location. Paid internships typically offer hourly wages or stipends, while unpaid internships may provide experience and networking opportunities. It's important to review the specific internship listing for compensation details and any required skills or certifications.

What is an audio engineer internship?

An Audio Engineer Internship is a temporary, entry-level position designed to provide hands-on experience in recording, mixing, and producing audio. Interns typically work under the supervision of experienced audio engineers in settings such as recording studios, broadcast stations, or live event venues. The internship helps students or recent graduates build technical skills, understand industry workflows, and network with professionals. Duties might include setting up equipment, assisting with recording sessions, and learning to use audio editing software. It's an important stepping stone for those pursuing a career in audio engineering.

Is there a demand for audio engineer interns?

There is steady demand for audio engineer interns in the entertainment, media, and live event industries, especially for those with skills in digital audio workstations and sound editing. Internships often serve as a pathway to full-time roles as audio engineers, with opportunities increasing as audio technology advances and content creation expands.

What is an audio engineer internship?

An audio engineer internship provides a student with the opportunity to learn about audio engineering and the way to use techniques in a professional recording studio. Someone in this position may help mix music, write software code for use in audio systems, or complete administrative tasks. It is common for an audio engineer internship to focus on the physical characteristics of systems and how those characteristics affect sound. The qualifications for an audio engineer internship often include active enrollment as a student in a relevant educational program, such as audio engineering.

What are the key skills and qualifications needed to thrive as an audio engineer intern, and why are they important?

To thrive as an Audio Engineer Intern, you need a foundational understanding of audio theory, recording techniques, and familiarity with audio equipment, often gained through coursework or hands-on experience. Proficiency in digital audio workstations (DAWs) like Pro Tools or Logic Pro, as well as knowledge of microphones and signal flow, is typically expected. Attention to detail, strong communication, and the ability to take direction are crucial soft skills in this role. These abilities ensure high-quality audio production, smooth studio operations, and effective collaboration with team members.

What types of projects and tasks can I expect to work on during an audio engineer internship?

As an Audio Engineer Intern, you'll typically assist with recording sessions, set up and break down audio equipment, and help engineers with mixing and editing tasks. You may also be involved in troubleshooting audio issues, organizing session files, and occasionally contributing creative input during sessions. Internships often provide exposure to both studio and live sound environments, giving you a chance to learn industry-standard workflows and collaborate with producers, musicians, and other technical staff. This hands-on experience is invaluable for building your skills and professional network in the audio industry.

What is the difference between Audio Engineer Internship vs Audio Engineer?

AspectAudio Engineer InternshipAudio Engineer
CredentialsTypically students or entry-level candidates, sometimes requiring relevant coursework or certificationsProfessional certification or degree in audio engineering or related field often preferred
Work EnvironmentInternship settings, often in recording studios, live venues, or broadcast stationsFull-time roles in studios, live events, film, or broadcasting
ResponsibilitiesAssisting with audio setup, editing, and learning industry practicesManaging audio production, mixing, editing, and technical tasks independently
Experience LevelEntry-level, focused on learning and skill developmentProfessional experience required, with a focus on independent work

In summary, an Audio Engineer Internship is an entry-level position designed for learning and gaining experience, while an Audio Engineer role involves professional responsibilities and requires more experience and expertise in audio production.

What are the most commonly searched types of Audio Engineer jobs in California? The most popular types of Audio Engineer jobs in California are:
What cities in California are hiring for Audio Engineer Internship jobs? Cities in California with the most Audio Engineer Internship job openings:
Infographic showing various Audio Engineer Internship job openings in California as of August 2026, with employment types broken down into 13% Internship, 72% Full Time, 9% Part Time, and 6% Temporary. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $39,648 per year, or $19.1 per hour.

Member of Technical Staff - Embedded ML Engineer (Audio/Omni)

Liquid AI, Inc

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

About Liquid AI
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
Liquid AI's models ship inside real products, including vehicles from flagship automotive design partners with hard production release dates.
This role sits at the center of that work: you will run the day-to-day model development pipeline for our marquee automotive engagement, working directly with the engineer who leads our embedded customer R&D.
You will take ambiguous feature requests from partner product teams and turn them into trained, evaluated, production-ready model checkpoints. Over your first months, the end-to-end pipeline (requirements, data generation, training, evaluation) is progressively handed to you until you operate it autonomously.
What We're Looking For
We need someone who:
  • Runs with it: You take a loosely-defined task and drive it to done without waiting for step-by-step direction.
  • Client-ready communicator: You can explain something technical you built from first principles to someone with zero context, clearly and without jargon. You will do this daily, with partners and internally.
  • High energy, high urgency: You move fast, you like shipping against real deadlines, and crunch periods around releases don't faze you.
  • Low ego: You are happy doing the unglamorous work that makes fast-moving projects hold together: cleaning data, polishing deliverables, building dashboards, documenting.
  • Comfortable with shifting requirements: Partner specs change constantly. You treat that as the job, not an annoyance.

The Work
  • Join partner calls, work with partner product managers, and translate broad, ambiguous feature specs into concrete model training requirements.
  • Own the core fine-tuning recipe for an on-device audio-to-function-calling model: keep tool calling accurate and reliable across all supported languages.
  • Generate, clean, and analyze training data; build and maintain the large-scale data pipelines that feed training.
  • Run training and evaluation cycles against partner requirements on a continuous loop through major software releases.
  • Make fast-moving work presentable: dashboards, analyses, documentation, and polished partner-facing deliverables.
  • Progressively take ownership of the end-to-end model development pipeline, from spec intake through delivered checkpoint.

Desired Experience
Must-have:
  • Hands-on machine learning experience: roughly 2+ years, though we are open to exceptional early-career candidates with strong internship track records.
  • You have personally trained models end-to-end, in any modality (computer vision, ADAS, LLMs, audio). Building applications around model APIs does not qualify.
  • Experience working with large-scale data pipelines and wrangling large volumes of data.
  • Experience in an automotive, embedded-device, or on-device ML context, and the instinct to reason from first principles about those environments.
  • Strong communication skills; this is a client-facing role.

Nice-to-have:
  • Audio or speech model experience.
  • Function calling / tool-use fine-tuning experience.
  • Multilingual model or data experience.
  • Background at automotive, autonomous vehicle, or defense research labs.

What Success Looks Like (Year One)
  1. Within six months, you have made a non-trivial, quantifiable impact on a marquee automotive engagement, validated directly by partner feedback on service quality.
  2. You operate the core model development pipeline (requirements, data generation, training, evaluation) autonomously across a major software release.
  3. Function-calling quality holds across an expanding set of supported languages while new capabilities are layered onto the model.

What We Offer
  • End-to-end ownership: within months you run a production model pipeline for a global automotive partner, with direct mentorship from the engineer who built it.
  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year