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

Highlights

• Own enterprise VLM post-training engagements end-to-end from spec to delivery.
• Design visual data curation and evaluations for grounding, OCR, and documents.
• Shape Liquid's multimodal post-training stack with learnings from real deployments.

What they offer

• 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 throughout the year

Ideal candidate

Pragmatic, ownership-driven ML engineer who cares about visual understanding, data quality, and shipping VLMs that work in production and bridging customer needs with core model development.

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 how visual representations interact with language model backbones