Chief Scientist - Foundation Models

Confidential

Montréal, Quebec, Canada permanent

Posted: January 30, 2026

Quick Summary

We are seeking a highly skilled Chief Scientist to lead our research efforts in developing innovative AI solutions. The ideal candidate will have expertise in AI, computer vision, and autonomous driving, with a strong background in academia and industry. The successful candidate will be responsible for driving impactful projects and integrating innovations into our products and services.

Job Description

Huawei Canada has an immediate permanent opening for a Chief Scientist.

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:

• Set the scientific strategy and long-term vision for foundation models (LLMs and multimodal models), including a multi-year roadmap with clear milestones, investment priorities, and success metrics.

• Lead research excellence at scale: recruit, mentor, and retain top scientific talent; establish rigorous standards for experimentation, evaluation, reproducibility, and model governance.

• Drive breakthrough innovation in model architecture, training at scale, data strategy, optimization/efficiency, inference, evaluation, and alignment—balancing frontier exploration with reliable deployment.

• Own the end-to-end research portfolio: prioritize bets across exploratory research, applied research, and enabling platform capabilities; review progress, unblock teams, and ensure high-impact delivery.

• Translate research into real-world impact by partnering with engineering and product leaders to deliver production-grade foundation model capabilities (performance, cost, latency, safety, reliability).

• Establish technical authority and thought leadership through publications, invited talks, patents, and community engagement (where appropriate), raising the company’s scientific profile.

• Advise executives on AI decisions: provide clear guidance on technical trade-offs, risk, governance, and strategic opportunities; shape build/partner decisions and due diligence for collaborations.

• Build external partnerships with top universities, research labs, and ecosystem partners to accelerate progress and strengthen recruiting and visibility.

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