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Audio Perception Research Jobs (NOW HIRING)

... perception, and take full ownership of driving them forward * Design and run rigorous experiments ... Deep expertise in at least one of: speech synthesis, ASR, audio modeling, language modeling, or ...

Perception Intern

Detroit, MI · On-site

$14.75 - $19.75/hr

... audio systems, high-definition displays, and powertrain electronics for standard, electric, and ... Research, benchmark, and test implementations of state-of-the-art deep learning models for LiDAR ...

... and audio with other modalities like text. You will not only work on cutting-edge projects to ... research and development that serves product needs. A successful candidate will stay up-to-date ...

Interest in perceptual media (audio, vision, and human perception) and curiosity about emerging approaches * A collaborative, iterative mindset-comfortable working across research and engineering ...

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Audio Perception Research information

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$37K

$106K

$142.5K

How much do audio perception research jobs pay per year?

As of Jun 7, 2026, the average yearly pay for audio perception research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in audio perception research, and how can they be addressed?

Professionals in audio perception research often encounter challenges such as recruiting diverse participant groups, designing robust experimental protocols, and interpreting subjective data. Overcoming these challenges typically involves collaborating closely with multidisciplinary teams, including engineers, psychologists, and statisticians, to refine methodologies and ensure accurate data analysis. Staying updated on the latest research tools and ethical guidelines also helps researchers maintain high standards and adapt to evolving technologies in the field.

What is audio perception research?

Audio perception research is the scientific study of how humans interpret and understand sounds. Researchers in this field investigate topics such as how we recognize speech, distinguish different musical notes, and perceive spatial locations of sounds. The goal is to better understand the processes and mechanisms by which the brain processes auditory information, which can inform developments in audio technology, hearing aids, and treatments for hearing disorders. This research often combines psychology, neuroscience, engineering, and computer science.

What are the key skills and qualifications needed to thrive as an Audio Perception Researcher, and why are they important?

To thrive as an Audio Perception Researcher, you generally need a strong background in psychology, neuroscience, or acoustics, often supported by an advanced degree such as a Master's or Ph.D. Familiarity with audio analysis software (e.g., MATLAB, Praat), experimental design, and statistical tools is essential, as is experience with laboratory equipment for audio testing. Critical thinking, attention to detail, and effective communication help researchers design robust studies and present findings clearly. These skills are crucial for generating reliable insights into auditory perception, advancing scientific understanding, and informing technology or product development.

What is the difference between Audio Perception Research vs Audio Signal Processing Engineer?

AspectAudio Perception ResearchAudio Signal Processing Engineer
CredentialsTypically requires a degree in psychology, audiology, or neuroscienceUsually holds a degree in electrical engineering, computer science, or related fields
Work EnvironmentResearch labs, universities, or industry R&D departments focused on human perceptionTechnology companies, audio hardware/software development, and signal processing labs
Industry UsageUsed in developing better audio devices, hearing aids, and understanding human hearingDesigning audio algorithms, improving sound quality, and developing audio hardware

Audio Perception Research focuses on understanding how humans perceive sound, often involving behavioral studies and neuroscience. In contrast, Audio Signal Processing Engineers develop algorithms and hardware to manipulate audio signals. Both roles are essential in the audio industry but serve different purposes related to human perception versus technical signal manipulation.

Infographic showing various Audio Perception Research job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 58% Full Time, 21% Part Time, 5% Temporary, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.
Staff Research Engineer, Robot Intelligence

Staff Research Engineer, Robot Intelligence

Samsung Research America

Mountain View, CA • On-site

Other

Posted 17 hours ago


Samsung Electronics rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

104th of 139 rated electronics manufacturers


Job description

Lab Summary: The Robot Intelligence Lab at Samsung Research America is a new facility dedicated to advancing the field of robotics through cutting-edge research and development. The lab's mission is to develop advanced technologies to power intelligent robotic systems capable of manipulation, navigation, and complex reasoning for a variety of high-impact application areas. To achieve this mission, the lab collaborates closely with external entities such as universities, startups, and government labs, as well as with several Samsung Product and Advanced Research labs.

Position Summary:  Samsung Research America is looking for an engineer who has solid technical skills and rich academic and/or industry experience in areas of robotics and embodied intelligence. Our ideal candidate explores novel AI technologies towards generalizing robots to perform tasks in the real world. Samsung's unique advantage in the consumer electronics market and growing focus on AI and robotics will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsung's vast product ecosystem to deliver novel user experiences, your work will define Samsung's future in robotics and significantly impact real-world users.

Position Responsibilities:

  • Design and evaluate the suitability of robotic hardware, sensors, and software for applications in semi-structured and unstructured environments targeting high impact business areas
  • Integrate sensors, actuators and other component into proof-of-concept/prototype robotic systems and analyze and optimize robotic system performance and accuracy
  • Design, develop, integrate and test algorithms for robot perception, control, learning, navigation, and manipulation
  • Develop and deploy data collection and model management mechanisms for in-the wild data aggregation
  • Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion
  • Document and present results evaluating algorithms and models on targeted compute platforms
  • Conduct pilot studies and formal experiments to benchmark performance against state-of-the-art approaches using clear and well-reasoned metrics

Required Skills:

  • PhD or Master's degree in EECS/Robotics or equivalent combination of education, training, and experience
  • 3+ years' industry experience in state-of-the-art robotics R&D, such as foundation models, vision-language-action (VLA) models, open-world 3D perception, trajectory prediction, model predictive control, and multimodal (visual, tactile, audio, semantic) information fusion
  • Demonstrated experience in sensing, kinematics, dynamics, and control systems integrated on real robotic systems
  • Solid understanding of computer vision techniques (e.g., object detection, segmentation, tracking) and multi-view image processing
  • Knowledgeable of tools and processes to monitor ML model performance and data quality, including model tuning experience
  • Familiarity with PyTorch, TensorFlow, C++, ROS, and CUDA
  • Demonstrated experience in software engineering best practices to track, communicate, and document project progress
  • Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, pose tracking, 3D mapping, SLAM, ROS, and policy architectures particularly for semi-structured and unstructured environments
  • Excellent problem-solving skills and the ability to work independently and as part of a team
  • Excellent verbal communication and writing skills to effectively represent the derived results and technical concepts developed in the course of the work

Candidates with additional experience are encouraged to apply in and will be considered for other opportunities.


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