Liquid AI

Member of Technical Staff – Post Training, Applied

Liquid AI

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Job Level

About the role

  • Act as the technical owner for enterprise customer post-training engagements
  • Translate customer requirements into concrete post-training specifications and workflows
  • Design and execute data generation, filtering, and quality assessment processes
  • Run supervised fine-tuning, preference alignment, and reinforcement learning workflows
  • Design task-specific evaluations, interpret results, and feed learnings back into core post-training pipelines

Requirements

  • Hands-on experience with data generation and evaluation for LLM post-training
  • Experience training or fine-tuning models using SFT, preference alignment, and/or RL
  • Strong intuition for data quality and evaluation design
  • Familiarity with alignment or RL techniques beyond basic supervised fine-tuning
  • Experience contributing to shared or general-purpose post-training infrastructure (Nice-to-have)
  • Prior exposure to customer-facing or applied ML delivery environments (Nice-to-have)
Benefits
  • 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
  • Unlimited PTO plus company-wide Refill Days throughout the year
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data generationdata evaluationfine-tuningsupervised fine-tuning (SFT)preference alignmentreinforcement learning (RL)data quality assessmentevaluation designpost-training infrastructure
Soft Skills
customer engagementcommunicationinterpretation of resultsfeedback incorporation