3 months ago
Responsibilities
- Conduct original research on LLM agent architectures and optimization techniques.
- Develop and evaluate novel algorithms with academic rigor and production feasibility.
- Present your work at internal research seminars and external conferences.
- Mentor and collaborate with LLM engineers on implementation and deployment.
Requirements
- Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields.
- Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL).
- Strong programming skills in Python and PyTorch.
- Ability to work in-person at the San Francisco office.
- Ability to work independently and collaborate across research and engineering teams.
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. We connect to every app, system, and process your business runs on, with no data migration, no rip-and-replace, 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 14,000+ enterprise systems into one governed execution layer. AI has solved reasoning. The next frontier is execution, with Workato.