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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.
Job Responsibility:
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
What we offer:
vibrant and dynamic work environment
multitude of benefits they can enjoy inside and outside of their work lives