Contribute to AI research through exploring innovative algorithms and collaborating with product teams to implement cutting-edge features in a dynamic environment.
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.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
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
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
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.
Workato is an Enterprise Automation Platform that empowers businesses to simplify complex workflows and streamline operations. It connects data, processes, applications, and experiences, making it an invaluable tool for both business and IT teams looking to enhance efficiency. With AI-driven technology, Workato enables organizations to transform technological challenges into significant business opportunities.
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Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Scientist Q&A's