Member of Technical Staff - Multi-Modal, Audio

Remote • Boston • FullTime

Posted 10mo ago

Remote Work Policy

Fully remote

Employment Type

FullTime

Categories

AI Engineer

About the job

Liquid AI, a rapidly scaling company spun out of MIT CSAIL, is building general-purpose AI systems designed for efficiency across various deployment targets, from data centers to on-device hardware. These systems prioritize low latency, minimal memory usage, privacy, and reliability for enterprise clients in sectors like consumer electronics, automotive, life sciences, and financial services. The Audio team is developing advanced speech-language models for STT, TTS, and speech-to-speech applications within a unified architecture. This role focuses on applied audio model development, working closely with the technical lead to deliver production systems that operate under real-time, on-device constraints. The position offers high ownership of critical workstreams, including data pipelines, evaluation systems, and customer deployments, within a small, elite team where code directly ships to production.

Responsibilities

  • Build and scale data pipelines for audio model training, including preprocessing, augmentation, and quality filtering.
  • Design, implement, and maintain evaluation systems for multimodal performance measurement.
  • Fine-tune and adapt audio models for customer-specific use cases, managing delivery from requirements to deployment.
  • Contribute production code to the core audio repository, collaborating with infrastructure and research teams.
  • Support experimentation under real hardware constraints, balancing customer work and core development.

Requirements

  • Demonstrated ability to write clean, maintainable, production-grade code.
  • Experience building and shipping production ML systems, including data pipelines, evaluations, and serving infrastructure.
  • Proficiency in PyTorch and familiarity with distributed training frameworks (e.g., DeepSpeed, FSDP).
  • Track record of effective collaboration in shared codebases with high engineering standards.
  • Ability to ramp quickly on new technical areas and seek feedback.
  • Comfort working with on-device, low-latency, memory-limited systems.

Benefits

  • Competitive base salary
  • Equity in a unicorn-stage company
  • 100% coverage of medical, dental, and vision premiums for employees and dependents
  • 401(k) matching up to 4% of base pay
  • Unlimited PTO
  • Company-wide Refill Days

About Liquid AI

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