Member of Technical Staff - Post Training, Applied

Liquid AI
San Francisco, Boston, Cambridge
Workplace: HybridFull timeFunction: Education & TrainingSkills: ["Ownership","Communication","Problem-solving","Collaboration","Detail-oriented"]

Join Liquid AI as a Member of Technical Staff focused on post-training applied NLP for text workloads. You own enterprise customer engagements from scoping to delivery, design data generation and evaluation workflows, and build reusable tooling to accelerate future deployments. You'll work across data generation, instruction tuning, RLHF, and evaluation to ensure language models perform in production for large customers.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Liquid AI
Liquid AI
7 months ago

Member of Technical Staff - Post Training, Applied

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Join Liquid AI as a Member of Technical Staff focused on post-training applied NLP for text workloads. You own enterprise customer engagements from scoping to delivery, design data generation and evaluation workflows, and build reusable tooling to accelerate future deployments. You'll work across data generation, instruction tuning, RLHF, and evaluation to ensure language models perform in production for large customers.
Location: San Francisco, Boston, Cambridge
Workplace: Hybrid
Employment Type: Full time
Job Function: Education & Training

Key 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

Pay and Benefits

Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •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
Experience:AIMachine LearningLLMApplied ML
Skills:OwnershipCommunicationProblem-solvingCollaborationDetail-oriented
Tech Stack:Hugging FacePyTorchSFTInstruction tuningRLHFDPO

Company Brief

Liquid AI
Builds AI infrastructure and tooling to enable real-time, distributed machine learning and orchestration across edge and cloud environments, simplifying deployment and management of intelligent applications.
Industry: AI & Machine Learning
Website