Liquid AI
Member of Technical Staff - Post Training, Applied (Vision)
San Francisco · Staff+
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About the role
- This is a rare chance to sit at the intersection of frontier vision-language models and real-world deployment.
- If you care about visual understanding, data quality, evaluation, and making VLMs actually work in production, this is a chance to shape how applied multimodal AI is done at a foundation model company.
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 applied post-training work for VLMs end-to-end for some of the world's largest enterprises, while still contributing directly to Liquid's core multimodal model development.
Requirements
- Hands-on experience with data generation and evaluation for VLM or multimodal post-training.
Nice to have
- Experience with visual grounding, document understanding, OCR, or video understanding tasks.
- Experience contributing to shared or general-purpose multimodal post-training infrastructure.
- Prior exposure to customer-facing or applied ML delivery environments.
- Familiarity with alignment or RL techniques beyond basic supervised fine-tuning in the multimodal setting.
- Has made durable contributions to Liquid's general-purpose multimodal post-training pipelines by feeding applied learnings back into baseline model development.
Compensation
- Competitive base salary with equity in a unicorn-stage company.
- We pay 100% of medical, dental, and vision premiums for employees and dependents.
- 401(k) matching up to 4% of base pay.
Benefits
- Real ML work: You will fine-tune vision-language models, generate multimodal data, and ship solutions, not configure API calls.
- 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
- We are scaling rapidly and need exceptional people to help us get there.
- WHAT WE OFFER - Real ML work: You will fine-tune vision-language models, generate multimodal data, and ship solutions, not configure API calls.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.