Audio Research ML Software Engineer
Come invent the future! Reality Labs Research (RL-R) brings together a world-class team of researchers, developers, and engineers to create the future of augmented and virtual reality. In the Audio Research team, we are exploring the potential of Audio in AR/VR to make virtual sounds indistinguishable from reality and give audio superpowers to billions of people, forever transforming the way we work, play, and connect.
Our team cultivates an honest and considerate environment where self-motivated individuals thrive. We encourage a strong sense of ownership and embrace the ambiguity that comes with working on the frontiers of research.
As a Software Engineer on the Audio team, you will foster our scientific explorations and generate viable paths to the consumer products that will connect people in meaningful ways for decades to come. In this role you will engage with research scientists and engineers across RL-R to deliver state of the art machine learning solutions in the audio domain.
Together, let's step into the adventure of a lifetime as we make science fiction real and change the world.Audio Research ML Software Engineer ResponsibilitiesBuild tools, platforms, infrastructure and documentation that enable more efficient and effective ML and CV research as applied to the audio domain.Analyze, evaluate, design, develop, integrate, debug and test realtime Machine Learning solutions for cutting-edge prototypes and user experiences.Build a community of researchers and developers by sharing software engineering best practices, tips and techniques.Collaborate in a diverse team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions.Write clean readable code, debug complex problems that span systems, understand priorities and fulfill project needs efficiently.Learn constantly, build with inclusion as a core value, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.Minimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.5
years experience working with cloud compute and data storage services.5
years experience with deep learning frameworks, such as Pytorch or Tensorflow.3
years experience working with large data sets for machine learning, including capturing and annotating.Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't support mapbox-gl library. To see the map, turn on WebGL in your browser settings and try again.Data CenterAbout 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $177,008/year to $251,000/year
bonus
equity
benefits Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.Estimated Salary: $20 to $28 per hour based on qualifications.
Our team cultivates an honest and considerate environment where self-motivated individuals thrive. We encourage a strong sense of ownership and embrace the ambiguity that comes with working on the frontiers of research.
As a Software Engineer on the Audio team, you will foster our scientific explorations and generate viable paths to the consumer products that will connect people in meaningful ways for decades to come. In this role you will engage with research scientists and engineers across RL-R to deliver state of the art machine learning solutions in the audio domain.
Together, let's step into the adventure of a lifetime as we make science fiction real and change the world.Audio Research ML Software Engineer ResponsibilitiesBuild tools, platforms, infrastructure and documentation that enable more efficient and effective ML and CV research as applied to the audio domain.Analyze, evaluate, design, develop, integrate, debug and test realtime Machine Learning solutions for cutting-edge prototypes and user experiences.Build a community of researchers and developers by sharing software engineering best practices, tips and techniques.Collaborate in a diverse team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions.Write clean readable code, debug complex problems that span systems, understand priorities and fulfill project needs efficiently.Learn constantly, build with inclusion as a core value, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.Minimum QualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.5
years experience working with cloud compute and data storage services.5
years experience with deep learning frameworks, such as Pytorch or Tensorflow.3
years experience working with large data sets for machine learning, including capturing and annotating.Demonstrated experience implementing and evaluating working and end-to-end prototypical learning systems.Start preparingLearn about how to prepare for your interview with our interview guide, tips, and interactive experiences.Visit interview prepLocationsWarning noticeYour browser doesn't support mapbox-gl library. To see the map, turn on WebGL in your browser settings and try again.Data CenterAbout 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $177,008/year to $251,000/year
bonus
equity
benefits Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.Estimated Salary: $20 to $28 per hour based on qualifications.
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