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Huawei

Global ICT infrastructure and devices provider

Chief Scientist - Foundation Models

Natural Language Processing & LLMsUpdated on Nov 13
Full-timeMontreal, QC, CanadaNo salary listedIn-person

About the Job

Requirements

  • Ability to set scientific strategy and a long-term vision for foundation models, including a multi-year roadmap with clear milestones, investment priorities, and success metrics.
  • Ability to recruit, mentor, and retain top scientific talent and establish rigorous standards for experimentation, evaluation, reproducibility, and model governance.
  • Expertise in model architecture, training at scale, data strategy, optimization and efficiency, inference, evaluation, and alignment.
  • Ability to prioritize research across exploratory research, applied research, and enabling platform capabilities; review progress, unblock teams, and ensure high-impact delivery.
  • Ability to partner with engineering and product leaders to deliver production-grade foundation model capabilities addressing performance, cost, latency, safety, and reliability.
  • Ability to advise executives on AI technical trade-offs, risk, governance, and strategic opportunities, and shape build-versus-partner decisions and collaboration due diligence.
  • Ability to build external partnerships with universities, research labs, and ecosystem partners.

Responsibilities

  • Set the scientific strategy and long-term vision for foundation models, including large language models and multimodal models, and define a multi-year roadmap with milestones, investment priorities, and success metrics.
  • Lead research excellence at scale by recruiting, mentoring, and retaining scientific talent, and establish standards for experimentation, evaluation, reproducibility, and model governance.
  • Drive innovation in model architecture, large-scale training, data strategy, optimization and efficiency, inference, evaluation, and alignment while balancing frontier exploration with reliable deployment.
  • Own the end-to-end research portfolio, prioritize work across exploratory research, applied research, and platform capabilities, review progress, unblock teams, and ensure high-impact delivery.
  • Partner with engineering and product leaders to translate research into production-grade foundation model capabilities addressing performance, cost, latency, safety, and reliability.
  • Establish technical authority and thought leadership through publications, invited talks, patents, and community engagement where appropriate, and raise the company’s scientific profile.
  • Advise executives on AI decisions, technical trade-offs, risk, governance, and strategic opportunities, and shape build-versus-partner decisions and collaboration due diligence.
  • Build external partnerships with universities, research labs, and ecosystem partners to accelerate progress and strengthen recruiting and visibility.

About the Company

Huawei

Global ICT infrastructure and devices provider

Huawei designs and sells ICT infrastructure, devices, and cloud services for telecom operators, enterprises, and consumers. Its products span telecom networks, IT infrastructure, smart devices, and cloud offerings, and they operate globally in more than 170 countries. Huawei’s technology works by combining hardware and software across networking gear, servers, consumer electronics, and cloud platforms, enabling connectivity, data processing, and smart solutions for businesses and homes, with a focus on secure, open collaboration with ecosystem partners. Differences from competitors come from its large scale, employee ownership structure, extensive R&D investment, and broad end-to-end solutions that integrate networks, IT, devices, and cloud. The company aims to empower people, enrich home life, and drive organizational innovation by delivering value through collaboration, advanced technologies, and customer-focused services.

Company size
10,001+
Company stage
Debt Financing
Total funding
$2.4B
Headquarters
Shenzhen, China
Founded
1987

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