Member of Technical Staff - Multi-Modal, Audio

Liquid AI
San Francisco, Boston, Cambridge
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving","Ownership","Teamwork"]

Join a fast-moving Audio team developing frontier speech-language models with on-device, real-time constraints. You will own data pipelines, evaluation systems, and customer deployments, contributing production code to core audio repos while collaborating with infrastructure and research teams. Expect high ownership, cross-functional work streams, and rapid iteration on production ML systems in a small, elite team.

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FursaFursa
Liquid AI
Liquid AI
9 months ago

Member of Technical Staff - Multi-Modal, Audio

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Join a fast-moving Audio team developing frontier speech-language models with on-device, real-time constraints. You will own data pipelines, evaluation systems, and customer deployments, contributing production code to core audio repos while collaborating with infrastructure and research teams. Expect high ownership, cross-functional work streams, and rapid iteration on production ML systems in a small, elite team.
Location: San Francisco, Boston, Cambridge
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key 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

Pay and Benefits

Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •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
  • •Experience designing for on-device, low-latency, memory-limited environments
Experience:AIAudioMultimodalOn-device computing
Skills:CommunicationCollaborationProblem-solvingOwnershipTeamwork
Languages:English
Tech Stack:PythonPyTorchDeepSpeedFSDPOn-deviceMultimodal

Company Brief

Liquid AI
Builds AI infrastructure and tooling to enable real-time, distributed machine learning and orchestration across edge and cloud environments, simplifying deployment and management of intelligent applications.
Industry: AI & Machine Learning
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