Researcher - Technology Strategist

Huawei Canada has an immediate 12-month contract opening for a researcher.

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:

• Participate in the innovative LLMs reasoning and LLMs empowered embodied AI research project;

• Implement algorithms for proposed models and applications, deploy into internal product; work closely with researchers in the team;

• Keeping up-to-date on selected areas of ML and write scientific reports;

• Technology Insights: Staying informed about AI industry trends, identifying new opportunities, and assessing gaps within our organization; applying these insights to technology planning and decision-making, while exploring novel technological sources to enhance our competitive edge, produce insight report for the literature, including the latest trends;

• Technology Charter: Leading or participating in major technology initiatives or large-scale applications; defining clear objectives, analyzing feasibility, and achieving a competitive advantage in technology;

• AI Domain SP/BP Planning: Developing a globally leading technology competitive strategy;

• Communication between HQ team and Canada team: translate technical reports or corporate documents as needed.

About the ideal candidate:

• Hold a PhD or MSc in Computer Science or related fields, or have equivalent experience; fluent in English and Mandarin.

• Strong knowledge of Deep Learning components and familiar with DL architectures like Transformers, RNNs, GNN.

• Experience applying machine learning models to real-world applications.

• Deep understanding of foundation models, RAG, or decision-making & reasoning techniques.

• Sharp technical insight and curiosity for emerging technologies.

• Strong ability to learn quickly, with expertise in areas like computer vision, NLP, or robotics.

• Effective planning skills, working on technology insights, business strategy, and planning with senior researchers.

• Self-driven, good at networking, teamwork, and project management; publications in top AI conferences is an asset.