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

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 customer VLM post-training engagements
• Translate customer requirements into concrete multimodal post-training specifications and workflows
• Design and execute visual data generation, filtering, and quality assessment processes
• Run supervised fine-tuning, preference alignment, and reinforcement learning workflows for vision-language models
• Design task-specific evaluations for visual understanding, grounding, OCR, and document parsing

Requirements

• Hands-on experience with data generation and evaluation for VLM or multimodal post-training
• Experience training or fine-tuning vision-language models using SFT, preference alignment, and/or RL
• Strong intuition for visual data quality, annotation design, and multimodal evaluation
• Familiarity with vision encoders, image-text architectures, and language model backbones

Preferred Qualifications

• 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

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