4 months ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 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

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

Industry: AI & Machine Learning

Website

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Liquid AI

4 months ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: San Francisco, Boston

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

Industry: AI & Machine Learning

Website