Senior AI Research Scientist
Job description
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.
Why join us?
Ultimately, 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.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
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
Responsibilities
We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:
-
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
Qualifications / Experience / Technical Skills
-
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.
Soft Skills / Personal Characteristics
-
Curiosity‑driven and self‑directed.
-
Ability to explain complex ideas to non‑experts.
-
Team player who welcomes feedback and knowledge‑sharing.