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

Liquid AI· Applied ML
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Hybrid (San Francisco), Hybrid (Remote), Hybrid (Boston)Full-timePosted 6mo ago

About the role

Senior hands-on role focused on end-to-end post-training work for vision-language models (VLMs) in production for enterprise customers, combining applied delivery with core multimodal model development.

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, including image-text pair curation, annotation pipelines, and synthetic data generation for visual tasks.
  • Run supervised fine-tuning, preference alignment, and reinforcement learning workflows for vision-language models.
  • Design task-specific evaluations for visual understanding, grounding, OCR, document parsing, and other multimodal capabilities. Interpret results and feed learnings back into core post-training pipelines.

Qualifications

  • 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.

Skills

Required:VLM post-trainingSFT / RLHF / Preference Alignment

Benefits

  • Real ML work: fine-tune vision-language models, generate multimodal data, and ship solutions that feed back into core model development.
  • Competitive base salary with equity in a unicorn-stage company.
  • Health: 100% covered 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.
Last updated Aug 5, 2026. Interested? Apply on the company site.
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About Liquid AI

Build efficient general-purpose AI at every scale.

We build efficient general-purpose AI at every scale. Liquid Foundation Models (LFMs) are a new generation of generative AI models that achieve state-of-the-art performance at every scale, while maintaining a smaller memory footprint and more efficient inference.

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