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

About the Company

Spun out of MIT CSAIL, Liquid AI builds general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability.

Responsibilities

• Act as the technical owner for enterprise audio post-training engagements
• Translate customer requirements into concrete post-training specifications and workflows
• Design and build function calling capabilities for audio models to map spoken intents to structured tool calls
• Design and execute data generation pipelines for speech-to-speech and text-to-text training
• Run supervised fine-tuning, preference alignment, and reinforcement learning workflows
• Design task-specific evaluations for audio function calling and feed learnings back into core pipelines

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

Preferred Qualifications

• Experience with speech or audio language models (speech-to-speech, ASR, TTS, or multimodal audio-text systems)
• Prior exposure to customer-facing or applied ML delivery environments
• Experience with alignment or RL techniques beyond basic supervised fine-tuning
• Familiarity with on-device or low-latency inference constraints

Benefits

• Competitive base salary with equity
• 100% 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