Software Engineer, Audio Applied Scientist
Meta
Software Engineer, Audio Applied Scientist
Job Description
At Meta, we're building products that revolutionize the way people connect, work, and play. Our audio teams are at the forefront of this innovation, developing cutting-edge technologies that redefine the way we experience sound in virtual and augmented worlds. As an audio professional at Meta, you'll have the opportunity to: - Build new, innovative hardware and software: Collaborate with world-class experts to create products that push the boundaries of what's possible. - Solve unique, large-scale technical problems: Tackle complex challenges that impact billions of people around the world. - Create immersive audio experiences: Harness the power of AR and VR to make virtual sounds indistinguishable from reality. - Transform the way people hear and interact: Develop technologies that redefine hearing potential and change the way we connect with each other. Our teams are dedicated to creating a considerate and honest environment where self-motivated individuals thrive. We encourage ownership, creativity, and collaboration, and we're passionate about making science fiction real. Join us on this adventure: As a member of our audio team, you'll be part of a community that's shaping the future of sound and connection. Together, let's invent the future and change the world.
Locations
- Redmond, WA, USA
- Burlingame, CA, USA
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 35,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- hardware developmentintermediate
- software developmentintermediate
- collaborationintermediate
- problem-solvingintermediate
- innovationintermediate
- AR developmentintermediate
- VR developmentintermediate
- audio engineeringintermediate
- creativityintermediate
- ownershipintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years software development experience in industry settings or PhD with 4+ years of experience 3+ years relevant audio software engineering experience in industry settings C or C++ experience, including use of C++11/14/17 features Demonstrated experience working across disciplines to drive optimal solutions MS or PhD in Electrical Engineering, Computer Science or equivalent Expertise in audio signal processing and auditory perception, both classical and machine learned techniques Proven track record of innovation as demonstrated by products shipped, publications and/or patents Proven track record of contribution in two or more of these areas: Design and deployment of ML models on resource constrained devices, near- and far-field spatial processing, Adaptive System Identification, multirate systems and filter banks, peech and audio compression, room acoustics or spatial audio Experience with audio software development including DSP, machine learning, and/or hybrid systems Experience in Android or Linux audio stack development Experience developing, debugging, and shipping software products on large code bases that span platforms and tools Demonstrated experience working collaboratively in cross-functional teams Experience with audio-related software features across all layers of the audio stack (experience, 7 years)
Responsibilities
- Develop and implement innovative audio technologies, including general audio processing, audio ML/AI algorithms, and audio codecs Identify areas for improvement in scalability, performance, quality, and reliability across the audio stack Collaborate with cross-functional teams to deploy new audio technologies as-a-service and as-a-platform Analyze, design, develop, and debug audio features on Android systems Work effectively in a team environment, making architectural tradeoffs to deliver software solutions rapidly Develop software for consumer devices, prioritizing efficiency and delivering high-quality results Create clean, readable code and debug complex problems Embrace continuous learning, adapt to new technologies, and navigate ambiguity in problem-solving
Tags & Categories
Software Engineer, Audio Applied Scientist
Meta
Software Engineer, Audio Applied Scientist
Job Description
At Meta, we're building products that revolutionize the way people connect, work, and play. Our audio teams are at the forefront of this innovation, developing cutting-edge technologies that redefine the way we experience sound in virtual and augmented worlds. As an audio professional at Meta, you'll have the opportunity to: - Build new, innovative hardware and software: Collaborate with world-class experts to create products that push the boundaries of what's possible. - Solve unique, large-scale technical problems: Tackle complex challenges that impact billions of people around the world. - Create immersive audio experiences: Harness the power of AR and VR to make virtual sounds indistinguishable from reality. - Transform the way people hear and interact: Develop technologies that redefine hearing potential and change the way we connect with each other. Our teams are dedicated to creating a considerate and honest environment where self-motivated individuals thrive. We encourage ownership, creativity, and collaboration, and we're passionate about making science fiction real. Join us on this adventure: As a member of our audio team, you'll be part of a community that's shaping the future of sound and connection. Together, let's invent the future and change the world.
Locations
- Redmond, WA, USA
- Burlingame, CA, USA
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 35,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- hardware developmentintermediate
- software developmentintermediate
- collaborationintermediate
- problem-solvingintermediate
- innovationintermediate
- AR developmentintermediate
- VR developmentintermediate
- audio engineeringintermediate
- creativityintermediate
- ownershipintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years software development experience in industry settings or PhD with 4+ years of experience 3+ years relevant audio software engineering experience in industry settings C or C++ experience, including use of C++11/14/17 features Demonstrated experience working across disciplines to drive optimal solutions MS or PhD in Electrical Engineering, Computer Science or equivalent Expertise in audio signal processing and auditory perception, both classical and machine learned techniques Proven track record of innovation as demonstrated by products shipped, publications and/or patents Proven track record of contribution in two or more of these areas: Design and deployment of ML models on resource constrained devices, near- and far-field spatial processing, Adaptive System Identification, multirate systems and filter banks, peech and audio compression, room acoustics or spatial audio Experience with audio software development including DSP, machine learning, and/or hybrid systems Experience in Android or Linux audio stack development Experience developing, debugging, and shipping software products on large code bases that span platforms and tools Demonstrated experience working collaboratively in cross-functional teams Experience with audio-related software features across all layers of the audio stack (experience, 7 years)
Responsibilities
- Develop and implement innovative audio technologies, including general audio processing, audio ML/AI algorithms, and audio codecs Identify areas for improvement in scalability, performance, quality, and reliability across the audio stack Collaborate with cross-functional teams to deploy new audio technologies as-a-service and as-a-platform Analyze, design, develop, and debug audio features on Android systems Work effectively in a team environment, making architectural tradeoffs to deliver software solutions rapidly Develop software for consumer devices, prioritizing efficiency and delivering high-quality results Create clean, readable code and debug complex problems Embrace continuous learning, adapt to new technologies, and navigate ambiguity in problem-solving
Tags & Categories