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Spatial Audio Algorithms Jobs (NOW HIRING)

TunesMap

DSP Software Engineer

Boston, MA · On-site

$131K/yr

... spatial processing on embedded platforms, as well as bringing in new multi-channel audio formats, codecs/decoders, and DSP algorithms. Design hard real-time software pipelines with patterns and ...

Dolby

Senior Experience Designer

Atlanta, GA · On-site

$98K - $104K/yr

... ML, algorithms, digital signal processing, audio engineering, image processing, computer vision ... Experience with immersive or spatial media, such as immersive audio, immersive video, or ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

... spatial data processing for point cloud analysis, object detection, segmentation, and scene ... audio, and Building Information Models (BIM). • Work closely with the labeling and data ...

Vibrant Planet

Technical Partnership Success Manager

We are committed to bringing the best possible science, data, and algorithms together in interfaces ... On the technical side, this means comfort with spatial data and basic GIS workflows - enough to ...

New

FieldAI

3D Machine Learning Engineer

Irvine, CA

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ...

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All JobsSpatial Audio Algorithms Jobs

Spatial Audio Algorithms information

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$29.5K

$84.5K

$171.5K

How much do spatial audio algorithms jobs pay per year?

As of Jul 17, 2026, the average yearly pay for spatial audio algorithms 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 a Spatial Audio Algorithms Engineer, and why are they important?

To thrive as a Spatial Audio Algorithms Engineer, you need a strong background in digital signal processing, acoustics, and mathematics, typically supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages such as C++, Python, and MATLAB, as well as familiarity with audio DSP libraries and frameworks, is essential. Creativity, problem-solving, and strong collaboration skills help you innovate and effectively communicate complex ideas within a multidisciplinary team. These skills are vital for developing and optimizing advanced audio technologies that deliver immersive and high-quality spatial sound experiences.

What is the difference between Spatial Audio Algorithms vs Audio Signal Processing Engineers?

AspectSpatial Audio AlgorithmsAudio Signal Processing Engineers
Primary FocusDeveloping algorithms for 3D sound localization and immersive audio experiencesDesigning and optimizing audio processing systems for various applications
Skills & CredentialsKnowledge of acoustics, DSP, programming, and spatial audio conceptsExpertise in signal processing, electronics, programming, and audio engineering
Work EnvironmentResearch labs, tech companies, multimedia firmsAudio equipment manufacturers, broadcasting, multimedia development
Industry UsageVR/AR, gaming, immersive mediaAudio hardware, software development, broadcasting

While both roles involve audio processing, Spatial Audio Algorithms focus specifically on creating algorithms for immersive 3D sound experiences, whereas Audio Signal Processing Engineers work on broader audio system design and signal optimization across various applications.

What are some common challenges faced by professionals working on Spatial Audio Algorithms, and how can they be addressed?

Professionals developing Spatial Audio Algorithms often face challenges such as accurately simulating realistic sound localization in varied acoustic environments, optimizing algorithms for real-time processing on different hardware, and ensuring compatibility across multiple playback systems (e.g., headphones, speakers, VR headsets). Addressing these challenges requires a strong foundation in signal processing, active collaboration with hardware and software engineers, and continual testing in diverse settings. Staying updated with advancements in audio technology and participating in interdisciplinary teams can also help professionals innovate and resolve technical hurdles efficiently.

What are spatial audio algorithms?

Spatial audio algorithms are computational methods used to create, process, and simulate three-dimensional sound experiences. These algorithms help position sounds in space so that listeners perceive them as coming from specific directions or environments, enhancing realism in applications like virtual reality, gaming, and immersive audio. They achieve this by manipulating audio signals with techniques such as Head-Related Transfer Functions (HRTFs), binaural rendering, and ambisonics. Spatial audio algorithms are essential for providing a more engaging and lifelike auditory experience.
More about Spatial Audio Algorithms jobs
What are the most commonly searched types of Spatial Audio Algorithms jobs? The most popular types of Spatial Audio Algorithms jobs are:
What job categories do people searching Spatial Audio Algorithms jobs look for? The top searched job categories for Spatial Audio Algorithms jobs are:
Spatial Audio Algorithms jobs near you
Infographic showing various Spatial Audio Algorithms job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.
Sr. Applied Scientist, Amazon Music - Search Science

Sr. Applied Scientist, Amazon Music - Search Science

Amazon

Sunnyvale, CA • On-site

$107K - $146K/yr

Full-time

Posted 25 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices.

Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
Amazon Music Search Science team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven't been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research

You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.
Key job responsibilities
- Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes
- Design, development and evaluation of AI models for predictive learning
- Work closely with software engineering teams to drive model implementations and new feature creations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
About the team
Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.Our team is focused on building a personalized, curated, and seamless music experience

We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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