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Audio Engineer Graduate Jobs (NOW HIRING)

Research Engineer, Voice

Palo Alto, CA · On-site

$225K - $325K/yr

What We're Looking For * 2-5 years of research or engineering experience (including graduate work) in audio, speech, or multimodal ML. * Strong proficiency in PyTorch and hands-on experience training ...

Experience with audio engineering, motion capture, or interactive media technologies is highly ... graduate education, research and public service engages a diverse student body of approximately 17 ...

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Audio Engineer Graduate information

See salary details

$29.5K

$84.5K

$171.5K

How much do audio engineer graduate jobs pay per year?

As of Jun 1, 2026, the average yearly pay for audio engineer graduate 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 are the key skills and qualifications needed to thrive as an Audio Engineer Graduate, and why are they important?

To thrive as an Audio Engineer Graduate, you need a solid understanding of sound theory, audio recording techniques, and a relevant qualification such as a degree or diploma in audio engineering. Familiarity with digital audio workstations (DAWs) like Pro Tools or Logic Pro, as well as knowledge of mixing consoles and studio equipment, is typically required. Attention to detail, creativity, and strong teamwork skills help you collaborate effectively on diverse audio projects. These skills ensure you can produce high-quality sound, adapt to various production environments, and contribute valuably to creative teams.

What types of projects and collaborations can an Audio Engineer Graduate expect in their first professional roles?

As an Audio Engineer Graduate entering the workforce, you can expect to work on a diverse range of projects, including recording sessions, live sound events, podcast production, and post-production for film or video. Collaboration is a key aspect of the role; you'll regularly work alongside producers, musicians, directors, and other audio professionals to achieve the desired sound quality. Early roles often involve assisting senior engineers, setting up equipment, and managing session logistics, providing valuable hands-on experience that can lead to more responsibility and career growth within studios, broadcast companies, or independent production teams.

What is the difference between Audio Engineer Graduate vs Audio Technician?

AspectAudio Engineer GraduateAudio Technician
Required CredentialsDegree in audio engineering or related fieldTechnical certifications or on-the-job training
Work EnvironmentRecording studios, live events, post-productionConcerts, broadcast, equipment setup
Industry UsageOften involved in production and mixingFocus on equipment operation and maintenance

The main difference between an Audio Engineer Graduate and an Audio Technician lies in their focus and responsibilities. Audio Engineer Graduates typically have formal education and work on mixing, editing, and production tasks, while Audio Technicians primarily handle equipment setup, maintenance, and technical support. Both roles are essential in audio production environments, but they differ in skill emphasis and job functions.

More about Audio Engineer Graduate jobs
What job categories do people searching Audio Engineer Graduate jobs look for? The top searched job categories for Audio Engineer Graduate jobs are:
Infographic showing various Audio Engineer Graduate job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Research Engineer, Voice

Inflection AI

Palo Alto, CA • On-site

$225K - $325K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

About Inflection AI
Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We're shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people's potential.
Inflection AI created Pi, the world's first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI's foundation model, proving that AI can be personal, empathetic, and contextually aware.
About the Role
We're looking for a Member of Technical Staff (MTS), Research Engineer focused on voice and audio to help advance the spoken intelligence behind Pi. In this role, you'll work at the intersection of research and production-developing, training, and shipping neural models across the full spectrum of voice: speech synthesis, recognition, audio generation, and real-time spoken dialogue. You'll collaborate closely with ML engineers, product teams, and infrastructure to turn cutting-edge ideas in areas like neural audio codecs, diffusion-based TTS, and multimodal foundation models into the natural, expressive voice experiences that millions of Pi users interact with every day.
What You'll Do
  • Research, develop, and optimize neural models for voice and audio-including text-to-speech, automatic speech recognition, audio generation, and spoken dialogue systems.
  • Build and maintain production-grade training and inference pipelines for voice models, with close attention to latency, naturalness, and scalability.
  • Run experiments end-to-end: data curation, model architecture design, training, evaluation, and ablation studies.
  • Collaborate with ML engineers, product teams, and infrastructure to integrate voice models into Pi's real-time conversational stack.
  • Explore and apply advances in neural audio codecs, diffusion-based synthesis, streaming architectures, and multimodal foundation models to improve Pi's voice experience.
  • Develop robust evaluation frameworks combining perceptual metrics, automated benchmarks, and user-facing quality signals.
  • Contribute to Inflection's research culture through publications, internal reviews, and knowledge sharing.

What We're Looking For
  • 2-5 years of research or engineering experience (including graduate work) in audio, speech, or multimodal ML.
  • Strong proficiency in PyTorch and hands-on experience training and debugging large-scale neural models on GPU/accelerator clusters.
  • Solid understanding of audio and speech fundamentals spectrograms, mel features, vocoders, codec-based representations, and signal processing.
  • Demonstrated ability to take a research idea from prototype to production: equally comfortable reading papers and writing efficient, CUDA-aware training loops.
  • Familiarity with modern generative architectures for audio (e.g., diffusion models, autoregressive codecs, flow-matching) and their trade-offs.
  • Clear, collaborative communication able to distill complex research into actionable insights for cross-functional partners.
  • Have a bachelor's degree or equivalent in Computer Science, Electrical Engineering, Linguistics, or a related field; MS or PhD strongly preferred.

Employee Pay Disclosures
At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary to fall within the range of $225,000 to $325,000, depending on a candidate's qualifications and level of experience. This role also includes a meaningful equity component, allowing employees to share in the long-term success of the company.
Benefits
Inflection AI values and supports our team's mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include:
  • Diverse medical, dental and vision options
  • 401k matching program
  • Unlimited paid time off
  • Parental leave and flexibility for all parents and caregivers
  • Support of country-specific visa needs for international employees living in the Bay Area