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Liquid AI

Member of Technical Staff Multi Modal Audio

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Description

You will build scalable audio-training data pipelines, including preprocessing, augmentation, and quality filtering. You will create and maintain multimodal evaluation systems, fine-tune audio models for customer use cases, contribute production code, and support experimentation under real hardware constraints.

Responsibilities

  • Build and scale data pipelines for audio model training
  • Design, implement, and maintain multimodal evaluation systems
  • Fine-tune and adapt audio models for customer-specific use cases
  • Own customer delivery from requirements through deployment
  • Contribute production code to the core audio repository
  • Support experimentation under real hardware constraints

Requirements

  • Strong programming fundamentals
  • Ability to write clean, maintainable, production-grade code
  • Experience building and shipping production ML systems beyond model training
  • Proficiency in PyTorch
  • Familiarity with distributed training frameworks such as DeepSpeed or FSDP
  • Experience collaborating in shared codebases with high engineering standards

Benefits

  • Equity
  • Medical, dental, and vision premiums fully paid for employees and dependents
  • 401(k) matching up to 4% of base pay
  • Unlimited PTO
  • Company-wide Refill Days

Skills

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See also

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