AudioShake is an audio research company that’s helping power the next wave of music, film, and ambient computing experiences by making audio editable, accessible, and useful. 

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Our state-of-the-art audio processing models enable content publishers, major and indie music labels, application developers, hardware vendors, film studios, broadcasters, sports teams and frontier model developers to leverage best-in-class sound separation and voice/vocal transcription technologies across a wide range of critical audio workflows.

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Our team is a mix of A.I. researchers, engineers, and audiophiles, split between North America and Europe. Team members are highly independent, responsible, and collaborative. We strongly believe that great ideas can come from all members and roles on a team, and that everyone contributes uniquely to the company's culture and products.

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We are looking for an engineer who is comfortable working across diverse code bases in the service of designing, developing and operating a low-latency, highly-available audio ai inference and processing platform supporting both research and customer facing production environments.

• Collaborate with machine learning researchers, engineers, and product managers to bring our latest technologies into production.
• Develop tools, processes and services to improve the performance, throughput and latency of our audio processing system.
• Improve general system observability and devise and implement strategies to improve resilience and ease of operation.
• Work with the team to design and develop a minimum set of powerful abstractions allowing us to rapidly iterate and deploy our audio processing solutions in a heterogeneous GPU / CPU based compute environment.
  

• A minimum of 5+ years professional systems / software engineering experience.
• Experience with media processing and algorithms.
• A familiarity or confidence in your ability to rapidly onboard to paradigms (CUDA, NVidia GPU, Triton Server, ONNX, etc) supporting GPU based inference for multi layer audio processing models.
• Designed, developed, operated and debugged an observable production media processing system at scale.
• Participated in the refactor and/or redesign of production systems more than once in your career to support the growth and smooth operation of a profitable business with real customers.
• No problem picking up whatever skills and knowledge you need in order to get a job done.
• Humility and a positive attitude.

• Health, vision, and dental benefits
• Unlimited vacation
• Frequent team meet-ups in different parts of the world
• Equity options

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Above all, we treat people like humans, not work units. We want you to love your job, but also have the time and energy to have a life outside it.

This role is hybrid-remote, based in San Francisco, California. We work together three days a week.