About the Role
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. We are looking for an exceptional AI Research Scientist to join our growing team.
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.
Skills
- PyTorch
- JAX
- LLM frameworks
- Large-scale model training
- Transformer architectures
- Reinforcement-learning techniques
- CUDA
Education Level
- MS/PhD in Computer Science, ML, or related field—or equivalent experience.
About the Company
- Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform.
- A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale.
- With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.
- Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
- We are driven by innovation and looking for team players who want to actively build our company.
- We also believe in balancing productivity with self-care.
- Business Insider named us an “enterprise startup to bet your career on”.
- Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world.
- Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America.
- Quartz ranked us the #1 best company for remote workers.
