Senior AI Research Scientist

Навыки

• AI-агенты
• CUDA / ONNX / TensorRT
• LLM
• Machine Learning
• Ответственность за результат
• PyTorch
• RAG

О компании и продукте

• 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. To learn more, visit www.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!

Задачи

• We are looking for an exceptional AI Research Scientist to join our growing team. In this role, y ou 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

Требования

• 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
• (REQ ID: 2124)

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.