Liquid AI
Member of Technical Staff - Post Training, Applied (Audio)
San Francisco · Staff+
Sponsorship not specifiedDetected 115 days ago
Machine LearningData EngineeringNLPLLMs
About the role
- LFM2.5-Audio is Liquid's end-to-end multimodal speech and text language model.
- At 1.5B parameters, it handles speech-to-speech conversation, ASR, and TTS without requiring separate components, making it uniquely suited for real-time, on-device deployment.
- We're now bringing this model to enterprise customers.
Responsibilities
- Spun out of MIT CSAIL, we build 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.
- You'll own the applied post-training work that adapts LFM2.5-Audio for customer use cases end-to-end, from data generation through delivery.
- Real ML work: You will fine-tune audio and speech models, build audio data pipelines, and ship solutions to enterprise customers under real-time on-device constraints.
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.
- Familiarity with function calling, tool use, or structured output training for language models.
Nice to have
- 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.
- Has built and shipped function calling capabilities that reliably translate spoken user intents into tool calls for production use cases.
- Has made durable contributions to Liquid's general-purpose post-training and audio pipelines by feeding applied learnings back into baseline model development.
Compensation
- Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Financial: 401(k) matching up to 4% of base pay
Benefits
- Compensation: Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Company info
- If you care about data quality, evaluation, and making models actually work in production, this is a chance to shape how applied audio AI is done at a foundation model company.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
- We are scaling rapidly and need exceptional people to help us get there.
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This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.