Principal Research Engineer, Post-Training

Job summary

Responsibilities

About the Role and Team As a Principal Research Engineer on the Post-Training team, you will drive the technical vision, execution, and evolution of the systems that transform foundation models into intelligent, engaging, and aligned products.

• Technical Leadership & Mentorship: Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and…
• Research & Model Development: Lead the development of alignment algorithms, optimization techniques, and training objectives to improve model capabilities and data efficiency.
• Systems & Infrastructure: Lead the design of efficient training and inference systems for large-scale generative models.

What they're looking for

• PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent industry experience.
• Significant experience leading technical projects or teams in machine learning, AI research, or large-scale distributed systems.
• Deep understanding of modern machine learning techniques, including transformers, reinforcement learning, alignment methods, and large language models.
• Strong track record of delivering impactful research or applied ML systems in production environments.
• Expertise in designing, building, and maintaining production-quality ML systems and infrastructure.

Tech stack

• Transformers
• Kubernetes
• Docker