1

Research Scientist Audio Jobs (NOW HIRING)

We are seeking accomplished Research Scientists in Foundation Models with expertise in pre-training ... audio, and video), and drive innovative approaches for foundational model architecture. You will ...

... and audio • Work towards long-term research goals while identifying immediate milestones • ... scientists and engineers in a large cross-functional team • Open source high quality code and ...

Senior Research Scientist (Video)

$100K - $128K/yr

As a Senior Research Scientist on the Video team, you will be responsible for advancing core ... audio-visual deepfake detection, synthetic media identification, and real-time video processing ...

Research Scientist III Location: Redmond WA Onsite Duration: 12 months with possible extension ... audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking ...

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... text, audio, tactile, etc.) * Investigate paradigms that can deliver a spectrum of embodied ...

The ideal Research Scientist candidate will use their skills in system design and modeling and ... text, audio, tactile, etc) * Investigate paradigms that can deliver a spectrum of embodied ...

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... text, audio, tactile, etc.) * Investigate paradigms that can deliver a spectrum of embodied ...

The ideal Research Scientist candidate will use their skills in system design and modeling and ... text, audio, tactile, etc) * Investigate paradigms that can deliver a spectrum of embodied ...

What you'll do As a Research Scientist II on the Video team, you will independently drive core ... vision, audio, and speech conferences. Who you are * You remain focused, persistent, and ...

next page

Showing results 1-20

Research Scientist Audio information

See salary details

$50.5K

$130.1K

$174K

How much do research scientist audio jobs pay per year?

As of Jul 20, 2026, the average yearly pay for research scientist audio in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Research Scientist in Audio do?

A Research Scientist in Audio focuses on advancing the science and technology related to sound and audio processing. Their work often involves developing algorithms for speech recognition, sound classification, audio enhancement, and spatial audio technologies. They may conduct experiments, analyze data, and collaborate with engineers to create innovative solutions for applications such as virtual assistants, music technology, or hearing aids. This role typically requires a strong background in signal processing, machine learning, and acoustics. Research Scientists in Audio also publish their findings and contribute to the broader scientific community.

What are the key skills and qualifications needed to thrive as a Research Scientist in Audio, and why are they important?

To thrive as a Research Scientist in Audio, you need advanced knowledge in signal processing, machine learning, and acoustics, usually supported by a PhD or equivalent experience in computer science, electrical engineering, or a related field. Familiarity with programming languages like Python or MATLAB, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and knowledge of audio analysis tools are essential. Strong analytical thinking, creativity, and effective communication skills distinguish top performers in this field. These competencies enable the development of innovative audio technologies and effective collaboration within multidisciplinary research teams.

How does a Research Scientist specializing in audio typically collaborate with cross-functional teams during product development?

As a Research Scientist in audio, you will frequently work alongside software engineers, product managers, and UX designers to integrate cutting-edge audio algorithms into products. Collaboration often involves presenting research findings, prototyping solutions, and iterating based on feedback from both technical and non-technical team members. This role requires strong communication skills to bridge the gap between complex research concepts and practical implementation, ensuring that new audio technologies align with user needs and project goals.

What is the difference between Research Scientist Audio vs Audio Engineer?

AspectResearch Scientist AudioAudio Engineer
Required CredentialsMaster's or PhD in Acoustics, Audio Engineering, or related fieldsBachelor's degree in Audio Engineering, Sound Design, or related fields
Work EnvironmentResearch labs, universities, R&D departmentsRecording studios, live events, broadcasting facilities
Employer & Industry UsageAcademic institutions, tech companies, research organizationsMusic, film, broadcasting, live sound production

Research Scientist Audio focuses on developing new audio technologies and conducting experiments, often within academic or research settings. In contrast, Audio Engineers primarily operate sound equipment for recording, mixing, and live sound. While both roles require a strong understanding of audio principles, Research Scientists typically hold advanced degrees and work in R&D environments, whereas Audio Engineers often have practical experience and work directly with sound production equipment.

More about Research Scientist Audio jobs
What cities are hiring for Research Scientist Audio jobs? Cities with the most Research Scientist Audio job openings:
What states have the most Research Scientist Audio jobs? States with the most job openings for Research Scientist Audio jobs include:
Infographic showing various Research Scientist Audio job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist, Gemini Safety

DeepMind

Mountain View, CA

Other

Re-posted 10 days ago


Job description

Snapshot

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Gemini Safety team is accountable for the safety and fairness behavior of GDM's latest Gemini models. The role of the Research Scientist / Research Engineer will be to apply and develop data and algorithmic cutting edge solutions to advance GDM's latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.

About Us

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

We're looking for a versatile Research Scientist at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas. Our team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.

Key responsibilities:
  • Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
  • Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
  • Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks.
  • Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
  • Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
  • Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale
About You

In order to set you up for success as a Research Scientist on the Gemini Safety team  we look for the following skills and experience:

  • PhD in Computer Science, a related field, or equivalent practical experience.
  • Significant LLM post-training experience

In addition, the following would be an advantage: 

  • Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
  • Experience with Long-range Reinforcement learning
  • Experience in areas such as Safety, Fairness and Alignment
  • Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI
  • Experience taking research from concept to product
  • Experience with collaborating or leading an applied research project
  • Experience with JAX

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.