Job Description

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Responsibilities

• Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent collaboration
• Prototype and benchmark models; present findings internally and externally
• Collaborate with Product & Engineering to ship research‑backed features
• Contribute to open‑source repos and author technical blogs

Requirements

• MS/PhD in Computer Science, ML, or related field—or equivalent experience
• Hands‑on with PyTorch/JAX and modern LLM frameworks
• Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands-on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA
• Curiosity‑driven and self‑directed
• Ability to explain complex ideas to non‑experts
• Team player who welcomes feedback and knowledge‑sharing

Benefits

• No benefits