Member of Technical Staff - Post Training Applied

You will lead text-model post-training engagements from scoping through delivery and evaluation. You will turn customer requirements into workflows, generate and assess text data, run fine-tuning and alignment methods, evaluate model performance, and build reusable applied tooling.

Responsibilities

• Own enterprise customer post-training engagements for text workloads
• Translate customer requirements into post-training specifications and workflows
• Design data-generation, filtering, and quality-assessment processes for text corpora
• Run supervised fine-tuning, instruction tuning, RLHF, DPO, and preference-alignment workflows
• Design and interpret task-specific text-model evaluations
• Build reusable applied tooling and workflows

Requirements

• Experience with data generation and evaluation for LLM post-training
• Experience training or fine-tuning models using SFT, instruction tuning, RLHF, DPO, or similar methods
• Knowledge of text data quality and evaluation design
• Experience with chat-model alignment, instruction tuning, or text-data curation at scale
• Proficiency with Hugging Face, PyTorch, and modern model architectures

Benefits

• Equity
• Medical, dental, and vision premiums fully paid for employees and dependents
• 401(k) matching up to 4% of base pay
• Unlimited PTO
• Company-wide Refill Days