Member of Technical Staff (Machine Learning Engineer, Search & Agents)

📋 Description

• Push search and agent quality forward through improvements to models, training data, tools, and
• Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search
• Train and evaluate multi-agent systems, exploring how agents divide work, share information, and
• Design and build agent harnesses: the tools, context management, execution environments, and
• Improve retrieval and ranking models and the search interfaces agents use to find and assess
• Build datasets, reward signals, and evaluations that expose meaningful failures and guide

🎯 Requirements

• A strong track record of building and shipping ML systems, with deep experience in one or more of
• Strong software engineering skills and the ability to work across model training, experimentation
• Experience designing rigorous evaluations, diagnosing failures, and translating experimental
• Comfort with open-ended problems that require both research judgment and hands-on engineering.
• A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system.