Member of Technical Staff Machine Learning Engineer Search and Agents

You will improve search and agent quality through model, training-data, tool, and system improvements. You will develop post-training methods, train and evaluate multi-agent systems, build agent harnesses, improve retrieval and ranking, create evaluations, and take experiments through deployment.

Responsibilities

• Improve search and agent quality through models, training data, tools, and system design
• Develop LLM post-training methods and reinforcement learning
• Train and evaluate multi-agent systems
• Design and build agent harnesses
• Improve retrieval and ranking models
• Build datasets, reward signals, and evaluations
• Own experiments from hypothesis through deployment
• Collaborate to bring new capabilities into production

Requirements

• Machine learning systems
• LLM post-training
• Reinforcement learning
• Search
• Retrieval
• Agent systems
• Software engineering
• Model training
• Experimentation infrastructure
• Production systems
• Evaluation