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Full Time Podcast Audio Engineer Jobs (NOW HIRING)

Besimple AI

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

... with engineering/product to build or improve tools for project setup, contributor workflows, QA, ... podcast/audio production, or linguistic data. • Experience building or improving internal tools ...

Sirius XM

Producer, Podcast

Los Angeles, CA · On-site

$133K - $135K/yr

... programming and technology in the world. Our critically-acclaimed, industry-leading audio ... As a SiriusXM Podcast Producer, you will own day-to-day production execution across one or more ...

Huzzle

Podcast Producer / Videographer

Job Summary We are on a mission to build the best business podcast in the world. With over 2 ... Act as the DP, director, and audio engineer. You will own the shoot from the moment the gear ...

ProSource

Audio/Video Technician

Milwaukee, WI · On-site

$16 - $34/hr

Job Type: Full Time Related Keywords: Audio Video, CCTV, Surveillance, Automation, Networking, Control4, Audio Engineer, Home Theater A typical day may include: • Installation of custom ...

UNITED STATES SOCCER FEDERATION 1

Podcast Producer

Atlanta, GA · Remote

$119K - $121K/yr

The Podcast Producer will create compelling conversations and original segments that bring fans ... Requirements Minimum Qualifications * 5+ years of experience producing podcasts, audio programming ...

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Full Time Podcast Audio Engineer information

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$29.5K

$84.5K

$171.5K

How much do full time podcast audio engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full time podcast audio engineer in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Podcast Audio Engineer vs Freelance Podcast Audio Engineer?

AspectFull Time Podcast Audio EngineerFreelance Podcast Audio Engineer
CredentialsTypically requires technical audio certifications or relevant experienceMay have similar credentials but often relies on portfolio and client references
Work EnvironmentEmployed by a company or podcast network, working in a dedicated studio or officeWorks remotely or on-site for various clients, often in different locations
Employer & Industry UsageHired by podcast production companies, media outlets, or networksServes multiple clients independently, often across diverse industries

In summary, a Full Time Podcast Audio Engineer is employed by a single organization with a consistent work environment, while a Freelance Podcast Audio Engineer works independently, serving multiple clients and often working remotely. Both roles require strong audio skills, but employment structure and work setup differ significantly.

What cities are hiring for Full Time Podcast Audio Engineer jobs?

Cities with the most Full Time Podcast Audio Engineer job openings:

What are the most commonly searched types of Podcast Audio Engineer jobs?

The most popular types of Podcast Audio Engineer jobs are:

What states have the most Full Time Podcast Audio Engineer jobs?

States with the most job openings for Full Time Podcast Audio Engineer jobs include:

Full Time Podcast Audio Engineer jobs near you

Perceptual Audio Engineer (Research)

Harman International Industries

Northridge, CA • On-site

Full-time

Re-posted 15 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Corporate
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Corporate, you are integral to our company's award-winning success.
  • Enrich your managerial and organizational talents - from finance, quality, and supply chain to human resources, IT, sales, and strategy
  • Augment your comprehensive skillset with expert training across decision-making, change management, leadership, and business development
  • Obtain 360-degree support throughout your career life cycle, from early-stage to seasoned leader

About the Role
The Perceptual Audio Engineer (Research) develops the metrics, methods, and evaluation frameworks that connect algorithms to what users actually perceive. You will design listening tests, create perceptual datasets, develop objective and ML-based metrics, and establish quality gates so products can ship without perceptual regressions. Success means that we understand how create a desired perceptual goal in varying environments and just make it work for every customer.
What You Will Do
  • Metrics & Methods Development: Create perceptual metrics and evaluation methodologies that correlate with human preference and quality judgments (timbre, artifacts, clarity, spatial realism, comfort/fatigue).
  • User Testing & Listening Studies: Design and execute subjective evaluations (ABX, preference tests, rating studies), including stimulus generation, panel guidance, statistical analysis, and repeatability.
  • AI/ML-Enabled Evaluation: Where beneficial, develop ML-based quality prediction or artifact detection that supports rapid iteration (embedded-viable where relevant; cloud-viable for batch evaluation).
  • Perception-to-Product Gatekeeping: Define acceptance criteria and regression tests so OneUX productization can enforce "no perceptual regressions" in CI-style workflows.
  • Data & Experiment Discipline: Build and maintain clean datasets, labeling strategies, metadata, and experiment tracking so results are trustworthy and reusable.
  • Cross-Functional Collaboration: Work closely with DSP, acoustics, ML, and system testing roles to ensure metrics reflect real user value and cover edge cases.
  • AI Tools: Use AI tools to accelerate analysis and reporting while maintaining rigorous validation and traceability.

What You Need to Be Successful
  • Education: MS or PhD in EE/CS/Acoustics/Psychoacoustics/Statistics (or equivalent experience).
  • Experience: 5+ years in perceptual audio, audio quality evaluation, or related applied research/engineering.
  • Perception + Statistics: Strong understanding of psychoacoustics and statistical analysis for human-subject experiments. Experience in using and developing perceptual models.
  • Programming: Python and/or MATLAB for analysis and tooling; familiarity working with ML frameworks and basic DSP concepts.
  • AI Tools: Experience using AI-assisted tools for data analysis, scripting, and documentation in a reproducible workflow.

Bonus Points if You Have
  • Experience with perceptual evaluation for spatial audio, headphone tuning, or automotive cabin audio.
  • Experience creating objective metrics that become organizational standards and materially change decision-making speed/quality.
  • Familiarity with embedded deployment constraints for ML-based metrics.
  • Patents/publications in perceptual audio or audio quality evaluation.

What Makes You Eligible
  • Successfully complete a background investigation and drug screen as a condition of employment (post-offer).

What We Offer
  • Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program

An inclusive and diverse work environment that fosters and encourages professional and personal development
#LI-DPWHITE1
#LI-hybrid
Salary Ranges:
$ 134,250 - $ 196,900
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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