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

Highlights

• Own applied post-training for LFM2.5-Audio from data generation to delivery.
• Build voice-driven function calling that maps spoken intents to tool calls.
• Ship real-time speech-to-speech models for on-device enterprise use.

What they offer

• Equity in a unicorn-stage company
• 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

Ideal candidate

Pragmatic, ownership-driven applied ML engineer who cares about data quality and evaluation and thrives under on-device constraints to ship audio models that work in production.

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