← All roles

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

Liquid AI· Applied ML
Apply on company site
Hybrid (San Francisco), Hybrid (Remote), Hybrid (Boston)Full-timePosted 6mo ago

About the role

Role focused on applied post-training for LFM2.5-Audio, bridging frontier audio models and real-world deployment. Own end-to-end applied post-training work for enterprise use cases, from data generation to delivery, with emphasis on on-device, low-latency audio systems and function calling capabilities.

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: training models to map spoken user 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, function calling examples, and intent-action pairs.
  • Run supervised fine-tuning, preference alignment, and reinforcement learning workflows on audio language models.
  • Design task-specific evaluations for audio function calling (intent recognition accuracy, parameter extraction, end-to-end task completion) and feed learnings back into core post-training pipelines.

Qualifications

  • 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.

Skills

Required:Post-training for language modelsData generation and evaluation pipelinesFunction calling / structured output training
Nice to have:On-device / low-latency inference

Benefits

  • Real ML work: fine-tune audio and speech models, build data pipelines, ship solutions under on-device constraints.
  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: 100% paid medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Last updated Jul 15, 2026. Interested? Apply on the company site.
Liquid AI logo

About Liquid AI

Build efficient general-purpose AI at every scale.

We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.

AIEdge AIFoundation ModelsGenerative AIliquid-ai-recruiting-target
Company profileWebsite

More open roles at Liquid AI