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Lab tech • markham on
Senior Principal Engineer - Cognitive Enhancement for Foundation Model Applications
HuaweiMarkham, York Region, CALab Technician - Junior (CAN)
ObjectWin TechnologyMarkham, York Region, CA- Promoted
QC Tech Afternoons
Nova Staffing IncMarkham, ON, CanadaGeotechnical Lab Technician — Asphalt Certified (CCIL)
Frontop Engineering Ltd.Markham, York Region, CAAnalytical Lab Technician III
EntegrisScarborough, Ontario, CanadaDigital Tech Specialist
TD BankMarkham, Ontario, CanadaTechnical VP - AI & Data Storage
Huawei CanadaMarkham, York Region, CA- Promoted
Denture Technician
Smile Innovations GroupMarkham, ON, CanadaPharma Lab Analyst II – Finished Products
SGSMarkham, York Region, CAJr Lab Technician
TekWissen LLCMarkham, Ontario, CanadaVeterinary Lab Team Lead
IDEXX GmbHMarkham, York Region, CALab Patient Technician
LifeLabsRichmond Hill, ON, CATech Support Representative
telMAX Inc.Markham, York Region, CAGeotechnical Engineer : Field, Lab & Design
StantecMarkham, York Region, CALab Engineer
IonadaMarkham, York Region, CAComputer Lab Assistant
Tekgence IncMarkham, York Region, CALab Assistant
DynacareRichmond Hill, York Region, CATechnical VP - AI & Data Storage
Huawei Technologies Canada Co., Ltd.Markham, York Region, CACivil Engineering Lab Technician Intern
The Miller GroupWhitchurch-Stouffville, ON, CA- Richmond, BC (from $ 46,313 to $ 95,121 year)
- Richmond Hill, ON (from $ 44,363 to $ 87,880 year)
- Windsor, ON (from $ 51,680 to $ 86,324 year)
- Saskatoon, SK (from $ 40,020 to $ 82,721 year)
- Guelph, ON (from $ 51,660 to $ 82,436 year)
- Calgary, AB (from $ 44,984 to $ 82,007 year)
- Whitby, ON (from $ 41,849 to $ 80,894 year)
- Kingston, ON (from $ 60,879 to $ 80,287 year)
- Old toronto, ON (from $ 46,135 to $ 80,084 year)
- Thunder Bay, ON (from $ 54,230 to $ 79,905 year)
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Senior Principal Engineer - Cognitive Enhancement for Foundation Model Applications
HuaweiMarkham, York Region, CA- Permanent
Huawei Canada has an immediate permanent opening for a Senior Principal Engineer.
About the team :
The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.
About the job :
Innovation in Uncertainty Exploration : Drive cutting-edge research in areas such as Deep Search and LLM-based cognitive enhancement. Apply multi-path exploration and multi-stage experimentation across real-world scenarios to create technical differentiation and support business innovation.
Lead Technological Breakthroughs : Spearhead innovations across retrieval-augmented generation (RAG), multi-agent collaboration, and related AI technologies. Actively absorb and integrate the latest advancements from academia and industry to address complex engineering challenges.
Commercial Application & Productization : Translate research into robust, scalable technologies powering Huawei’s cloud and device ecosystems. Collaborate closely with product and platform teams to deliver impactful developer tools and explore new business models driven by LLM capabilities.
Ecosystem & Community Building : Take initiative in shaping the local AI ecosystem by fostering cross-disciplinary collaboration with academia and industry. Engage with conferences and communities focused on foundation models, distributed systems, and knowledge retrieval.
About the ideal candidate :
The ideal candidate will be a highly successful and proven leader with strong experience in leading foundation model enhancement, ideally in large global tech environment. The successful candidate will have :
Ph.D. in Computer Science, AI, Machine Learning, or a related field, ideally with post-graduation experience in industry LLM applications.
Solid foundation in algorithms and programming, with proficiency in at least one of Python, Java, C++, or Go.
Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and LLM platforms such as Langchain, Dify, or similar.
Proven experience in one or more areas : foundation models, search / recommendation systems, graph reasoning, or advanced search algorithms (e.g., heuristic methods).
Strong problem-solving skills, team collaboration ability, and intellectual curiosity toward emerging technologies.
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