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Member of Technical Staff - Multi-Modal, Audio

Liquid AI· Research & Engineering
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Hybrid (Boston)Full-timePosted 10mo ago

About the role

Role within Liquid AI's Audio team focusing on on-device, low-latency multimodal audio systems. Own data pipelines, evaluation systems, and customer deployments; collaborate across infrastructure and research to ship production-grade code.

Responsibilities

  • Build and scale data pipelines for audio model training, including preprocessing, augmentation, and quality filtering at scale
  • Design, implement, and maintain evaluation systems that measure multimodal performance across internal and public benchmarks
  • Fine-tune and adapt audio models for customer-specific use cases, owning delivery from requirements through deployment
  • Contribute production code to the core audio repository, collaborating with infrastructure and research teams
  • Support experimentation under real hardware constraints, shifting between customer work and core development as priorities evolve

Qualifications

  • Strong programming fundamentals with demonstrated ability to write clean, maintainable, production-grade code
  • Experience building and shipping production ML systems beyond model training (data pipelines, evals, serving infrastructure)
  • Proficiency in PyTorch and familiarity with distributed training frameworks (DeepSpeed, FSDP, or similar)
  • Track record of collaborating effectively in shared codebases with high engineering standards

Skills

Required:Programming fundamentalsProduction ML systemsPyTorchDistributed training
Nice to have:Audio/speech experience (nice-to-have)Large-scale distributed trainingOpen-source contributions

Benefits

  • Rare technical problems: work on audio-to-audio frontier systems with real ownership in a small team
  • Competitive base salary with equity in a unicorn-stage company
  • Health: 100% covered medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay
  • Unlimited PTO plus company-wide Refill Days throughout the year
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Liquid AI

Build efficient general-purpose AI at every scale.

We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.

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