Senior Backend / ML Engineer Job at AudioShake, San Jose, CA

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  • AudioShake
  • San Jose, CA

Job Description

About AudioShake:

AudioShake is an audio research company that’s helping power the next wave of music, film, and content experiences by making audio editable, accessible, and useful. Winner of the , and named to , our sound separation and lyric transcription technology is used by major and indie labels, music publishers, film studios, broadcasters, and sports teams across a wide range of audio editing tasks.

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.

Job Tasks / Responsibilities:

  • Working with research team to deploy and optimize new ML models and architectures
  • Update our python logic to improve our processing performance to work at scale
  • Improve our processing pipeline to improve speed and reliability
  • Inspecting and debugging Python code
  • Improving our current backend and infrastructure code built with Python and NodeJS/Typescript languages
  • Utilize the AWS CDK to update and maintain our cloud infrastructure
  • Assist with efforts to deploy new infrastructure for new services
  • Dynamically create and maintain our systems architectures in AWS via code using AWS libraries (Python and Javascript)
  • Assist with brainstorming, writing documentation, and creating diagrams for our new architectural changes
  • Help to maintain and improve the security and reliability of our services and ensure good engineering practices in compliance with our security policies
  • Load testing
  • Conduct a regular load testing strategy
  • Maintain and improve Artillery JS scripts or other load testing scripts

Job Requirements:

  • Senior level experience with Python
  • Senior level experience with backend Cloud services and Dev Ops
  • Experience with deploying and serving of ML modes for inference
  • Infrastructure as Code (IAC), Distributed Service Deployment, CI/CD, Docker
  • Understands how to identify and fix performance bottlenecks
  • Produces clean code and follows test-driven development

Bonus:

  • Audio and FFMpeg experience
  • ML experience
  • Nvidia Triton Server, Kubernetes

Also Nice to Have:

  • NodeJS, Javascript, Typescript
  • RDS, Elasticache, PostgreSQL, Redis
  • AWS CDK, ExpressJS, FastifyJS, Prisma JS, React
  • Github Actions, AWS, DataDog

Benefits:

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

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.

Hiring location:

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

Job Tags

Remote job, 2 days per week,

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