Staff AI Platform Engineer - Inference & Agentic Systems
Toronto, Canada (Hybrid)North America
As a Staff AI Platform Engineer, you will work across inference and agentic systems.
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556 jobs found
Toronto, Canada (Hybrid)North America
As a Staff AI Platform Engineer, you will work across inference and agentic systems.
Mandarin
The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by…
With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart…
About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not…
German
Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success…
German
As a Solutions Consultant supporting Mid-Market accounts, you’ll partner with Sales and cross-functional teams to craft and deliver consultative strategies that showcase…
As a Lead Solutions Consultant, you’ll play a pivotal role in advancing the sophistication and effectiveness of the EMEA regions’ upper segment sales motions. As a…
We are looking for an Applied Scientist III to join our algorithmic and research science team.
Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS…
Chinese & English
Join us as we scale our business by building on our tremendous success around the world. The massive database market is going to double over the next few years and TiDB…
Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our important accounts, leading to more…
We are looking for a full-time Machine Learning Engineer / Research Scientist to drive the modeling and algorithmic development of XPENG’s next-generation…