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Research Scientist Audio Jobs (NOW HIRING)

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 Fraud Research team, you will help improve how ... Build and improve fraud risk models and scoring systems using a combination of audio, behavioral ...

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine ...

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine ...

What you'll do As a Research Scientist II on the Fraud Research team, you will help improve how ... Build and improve fraud risk models and scoring systems using a combination of audio, behavioral ...

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine ...

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine ...

We are seeking a contract applied research scientist specializing in audio perception. This role is an integral part of our team, contributing to our research and development efforts. The ideal ...

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Research Scientist Audio information

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$50.5K

$130.1K

$174K

How much do research scientist audio jobs pay per year?

As of Sep 11, 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?

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 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:

What are popular job titles related to Research Scientist Audio jobs?

For Research Scientist Audio jobs, the most frequently searched job titles are:

Infographic showing various Research Scientist Audio job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

AI Research Scientist, Robotics

Burlingame, CA • On-site

Meta
Internet and IT • 10K+ employees

$154K/yr

Full-time

Re-posted 26 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

The ideal Research Scientist candidate will use their skills in system design and modeling and possess knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
AI Research Scientist, Robotics Responsibilities:
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionalities needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Plan and execute novel research based on long-term objectives of the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
  • Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI

Preferred Qualifications:
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Experience working with robot simulations and real-world hardware
  • Experience working and communicating cross functionally in a team environment
  • 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience building systems based on machine learning and/or deep learning methods
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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