Member of Technical Staff - Post Training, Applied (Audio)

Liquid AI
San Francisco, Boston, United States, Cambridge
Workplace: RemoteFull timeFunction: Education & TrainingSkills: ["Function calling","Data generation","Evaluation design","On-device","Low-latency","SFT","RL","Instrumentation"]

Design and own applied post-training for Liquid AI’s LFM2.5-Audio, turning customer requirements into end-to-end post-training workflows, data generation pipelines, and function-calling capabilities for on-device, low-latency audio models that translate spoken intents into structured tool calls and production-ready outcomes.

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FursaFursa
Liquid AI
Liquid AI
5 months ago

Member of Technical Staff - Post Training, Applied (Audio)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design and own applied post-training for Liquid AI’s LFM2.5-Audio, turning customer requirements into end-to-end post-training workflows, data generation pipelines, and function-calling capabilities for on-device, low-latency audio models that translate spoken intents into structured tool calls and production-ready outcomes.
Location: San Francisco, Boston, United States, Cambridge
Workplace: Remote
Employment Type: Full time
Job Function: Education & Training

Key Responsibilities

  • •Act as the technical owner for enterprise audio post-training engagements.
  • •Translate customer requirements into concrete post-training specifications and workflows for LFM2.5-Audio and future audio models.
  • •Design and build function calling capabilities for audio models: mapping spoken intents to structured tool calls (API invocations, parameter extraction, confirmation flows).
  • •Design and execute data generation pipelines for speech-to-speech and text-to-text training, including synthetic dialogue and intent-action pairs.
  • •Run supervised fine-tuning, preference alignment, and reinforcement learning workflows on audio language models.
Travel: Low travel

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceVision401kPaid LeaveEquity

Key Requirements

  • •Hands-on experience with post-training for language models (SFT, preference alignment, and/or RL).
  • •Experience with data generation and evaluation pipelines for LLM or audio model training.
  • •Strong intuition for data quality and evaluation design.
  • •Familiarity with function calling, tool use, or structured output training for language models.
  • •Must be able to own customer post-training projects end-to-end for audio workloads
Experience:Applied MLAudioLanguage modelsPost-training
Skills:Function callingData generationEvaluation designOn-deviceLow-latencySFTRLInstrumentation
Tech Stack:On-deviceSpeech-to-speechASRTTSLanguage modelsRLSFTFunction calling

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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