Liquid AI

Member of Technical Staff – Post Training, Applied, Audio

Liquid AI

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Job Level

Tech Stack

About the role

  • Act as the technical owner for enterprise customer post-training engagements involving audio and speech workloads
  • Translate customer requirements into concrete post-training specifications for ASR, TTS, and speech-to-speech tasks
  • Design and execute data generation, preprocessing, augmentation, and quality filtering processes for audio corpora
  • Fine-tune and adapt audio/speech models for customer-specific use cases, owning delivery from requirements through deployment
  • Design task-specific evaluations for audio model performance (noise robustness, speaker variation, latency) and interpret results
  • Build reusable applied tooling and workflows that accelerate future customer engagements

Requirements

  • Hands-on experience with data generation and evaluation for ML model post-training
  • Experience training or fine-tuning models using SFT, preference alignment, and/or RL
  • Strong intuition for data quality and evaluation design
  • Experience with speech or audio ML models (ASR, TTS, audio understanding, vocoders, or speech-to-speech systems)
  • Proficiency in Python and PyTorch with autonomous coding and debugging ability
  • Experience with audio data pipelines at scale (preprocessing, augmentation, quality filtering)
  • Experience delivering applied ML work to external customers with measurable outcomes
  • Familiarity with on-device deployment under latency and memory constraints
Benefits
  • Competitive base salary with equity in a unicorn-stage company
  • We pay 100% of 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data generationevaluation designfine-tuning modelsSFTpreference alignmentRLPythonPyTorchaudio data pipelinesquality filtering
Soft Skills
strong intuition for data qualityautonomous codingdebugging ability