Member of Technical Staff - Post Training, Applied

Highlights

• Own applied post-training end-to-end for text workloads for enterprise customers.
• Build reusable applied workflows and tooling that accelerate future delivery.
• Ship solutions that feed directly back into core foundation model development.

What they offer

• Competitive base salary with equity in a unicorn-stage company
• 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

Ideal candidate

Pragmatic owner who thinks end-to-end across data, tuning and evaluation and cares about making language models work in production. Clear communicator who bridges customer needs and technical delivery.

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