Member of Technical Staff Research Post Training

You will research and develop methods for post-training, large-scale model optimization, and inference. You will improve long-context and long-horizon model capabilities, inference efficiency, reliability, and robustness for real-world deployments.

Responsibilities

• Develop techniques for large-scale model training, optimization, and inference
• Extend models to long-context and long-horizon tasks
• Improve inference efficiency, reliability, and robustness

Requirements

• Research accomplishments in reinforcement learning, machine learning, foundation models, or related fields
• Experience with large-scale training and inference infrastructure
• Experience with distributed systems and multi-node GPU clusters
• Experience developing, training, optimizing, or deploying large-scale models
• Research publications at leading venues
• Ability to work effectively across research and engineering

Benefits

• Equity