Audio Research ML Software Engineer
Oculus

Job Info

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 Responsibilities:

• Build 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 Qualifications:

• Bachelor'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.

Preferred Qualifications:

• 2+ years experience in computer vision algorithms such as real time object detection and tracking.
• Experience working with High Performance Compute solutions.
• Experience shipping AR/VR solution.
• Successfully driving and executing on research initiatives.
• 3D mathematics and applied linear algebra.
• Experience working within interdisciplinary teams.

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