About the Role As Director of Agents Research, you will lead teams focused on developing LLM-based autonomous systems for real-world applications.
In this hands-on technical leadership role, you'll oversee research initiatives and collaborate with engineering teams to bring innovations to production.
You'll play a key role in advancing our hybrid model-in-the-loop system, which currently processes tens of millions of data points for frontier labs and industry leaders monthly, with plans to scale to billions.
Your expertise will drive R&D strategy across critical areas including:
Agent architecture development and scaffoldingData collection workflows and managementPerformance evaluation frameworksTesting environments and benchmarkingBrowser and SWE agent developmentLeveraging Scale's unique position as a leader in frontier data, you'll drive the development of autonomous agents capable of handling complex tasks, ensuring our solutions meet high performance and scalability standards.
Responsibilities Lead cutting-edge research in AI agent architectures and autonomous systems development.Design scalable evaluation frameworks to measure and optimize agent performance across billions of tasks.Transform research breakthroughs into production-ready ML solutions through close collaboration with engineering.Drive thought leadership in AI agent research through publications and industry engagement.Build and mentor a high-performing research team focused on pushing technological boundaries.Qualifications PhD in computer science, ML, or AI or equivalent experience.5+ years leading technical research teams.Strong publication record in top ML conferences.Deep expertise in large-scale model training and deployment.Successful track record building and managing high-performing research teams.Advanced proficiency in PyTorch, TensorFlow, or Jax.
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