Huawei Canada has an immediate permanent opening for a Senior Principal
Researcher - Decision Making and Reasoning
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research
organization with notable achievements in academia and industry. The lab’s
mission focuses on advancing artificial intelligence and related fields to
benefit the company and society. Driven by impactful, long-term projects, the
aim is to enhance state-of-the-art research while integrating innovations into
the company's products and services, including LLMs, RL, NLP, computer vision,
AI theory and Autonomous driving.
About the job:
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Lead the development strategy, technical roadmap, and key technology
directions in decision-making, planning, and reasoning for intelligent
systems.
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Conduct and guide state-of-the-art research on AI Agents, Embodied AI, and
Reasoning-enhanced LLMs.
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Collaborate with internal product teams to transition cutting-edge research
into production systems that impact millions globally.
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Publish and present at top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI,
IJCAI, ICRA, RSS) and contribute as a thought leader in the AI community.
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Foster relationships with external academic and industry experts to identify
emerging trends and shape Huawei’s long-term research agenda.
About the ideal candidates:
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PhD in Computer Science, Machine Learning, Robotics, or related fields,
specializing in decision making, reasoning, or related areas; or equivalent
industry experience.
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Demonstrated research excellence with publications in premier AI conferences,
such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ICRA, or RSS.
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Deep understanding of foundational and advanced techniques in AI reasoning,
planning, and decision-making, particularly in connection with large-scale
models.
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Proven ability to translate research into working prototypes and scalable
solutions.
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Experience collaborating with leading industry research labs or technology
companies is highly desirable.
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Practical experience building large-scale AI solutions for decision making,
planning, robotics, or multi-agent systems is a strong asset.
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Excellent communication skills, with the ability to engage both technical and
non-technical stakeholders effectively.
