Applied Scientist 5
Core
Lead foundational research in agentic AI and intelligent systems, developing novel modeling and learning approaches for AI agents to reason, plan, learn, and operate over complex tasks.
Role type
Senior Applied Scientist (Agentic AI & Foundation Models)
Builds
Novel model architectures, learning algorithms, and training methodologies for AI agents
Domain
Artificial Intelligence, Machine Learning, Deep Learning
Deliverable
production ML models
Required skills
Machine learning fundamentals, deep learning, optimization, statistical modeling, generative modeling, large language models, NLP, computer vision, multimodal learning, reinforcement learning, reasoning, planning
Preferred skills
None explicitly stated
Technologies
Modern deep learning frameworks
Responsibilities
Conduct fundamental and applied research in agentic AI and foundation models; Develop novel model architectures and learning algorithms; Build and evaluate research prototypes; Translate research advances into product; Mentor junior and mid-level ML engineers; Collaborate with product and infrastructure teams
Seniority
Senior, hands-on IC
