Scale is seeking a Director of Agent Research to lead teams focused on developing LLM-based autonomous systems for real-world applications. This role involves overseeing research initiatives and collaborating with engineering teams to bring innovations to production. The Director will play a key role in advancing Scale's hybrid model-in-the-loop system, which processes millions of data points monthly and plans to scale to billions.Role involves:
Leading research in AI agent architectures and autonomous systems development.
Designing scalable evaluation frameworks.
Transforming research breakthroughs into production-ready ML solutions.
Driving thought leadership in AI agent research.
Building and mentoring a high-performing research team.
Requirements:
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.
Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.