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Member of Technical Staff - Post Training, Applied

Liquid AI· Applied ML
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Hybrid (San Francisco), Hybrid (Remote), Hybrid (Boston)Full-timePosted 8mo ago

About the role

Applied post-training role owning text-workload workflows end-to-end for enterprise customers, from scoping through evaluation, with building reusable workflows and tooling to accelerate future delivery.

Responsibilities

  • Act as the technical owner for enterprise customer post-training engagements involving text workloads
  • Translate customer requirements into concrete post-training specifications and workflows
  • Design and execute data generation, filtering, and quality assessment processes for text corpora
  • Run supervised fine-tuning, instruction tuning, RLHF, DPO, and other preference alignment workflows
  • Design task-specific evaluations for text model performance and interpret results
  • Build reusable applied tooling and workflows that accelerate future customer engagements

Qualifications

  • Hands-on experience with data generation and evaluation for LLM post-training
  • Experience training or fine-tuning models using SFT, instruction tuning, RLHF, DPO, or similar preference alignment methods
  • Strong intuition for text data quality and evaluation design
  • Experience with text-specific post-training workflows: chat model alignment, instruction tuning, or text data curation at scale
  • Proficiency with open-source ML ecosystem (Hugging Face, PyTorch) and modern model architectures

Skills

Required:Data generation for LLM post-trainingModel fine-tuning / trainingText data quality and evaluation designPost-training workflows for textOpen-source ML ecosystem

Benefits

  • Real ML work: you will fine-tune models, generate data, and ship solutions, not just API calls
  • Competitive base salary with equity in a unicorn-stage company
  • Health: 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
Last updated Jul 15, 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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