Member of Technical Staff (LLM Development)

Highlights

• Build foundation LLMs like Sakana Namazu powering products and RSI research.
• Own LLM development end-to-end from pre-training to evaluation at scale.
• Drive scaling laws, architecture improvements, and large training runs.

Ideal candidate

Hands-on ML engineer who thrives on ambiguous problems, runs fast hypothesis-driven experiments, and wants to own LLM capabilities end-to-end while continuously learning new techniques.

Requirements

• Master's degree or equivalent experience
• 2+ years of practical experience in machine learning / deep learning, or equivalent
• Experience designing, running, and debugging multi-GPU machine learning jobs in a shared compute environment
• Ability to break ambiguous problems into testable hypotheses, and to design experiments that lead to decisions
• Enthusiasm for learning and for new challenges, with ability to pick up unfamiliar knowledge and skills quickly
• Japanese: business level