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Advanced AI Specialist in Representation Learning and R&D Solutions
Xanadu
Full-time
toronto, on
Other-General
Posted:
May 22, 2026
Location:
toronto, on, Canada
Job Description
Explore transformative possibilities as an AI Specialist using representation and reinforcement learning strategies. Be at the forefront of research and technology, solving complex problems through data-driven insights.
Your role will involve analyzing diverse internal R&D data to identify essential trends and develop innovative AI solutions. By collaborating with a diverse team of scientists and engineers, you will contribute to crafting the first commercially viable quantum computer. Mastering state-of-the-art tools and methodologies will be key to your success in this position.
Key Responsibilities:
• Analyze diverse R&D data for actionable insights
• Develop learning strategies for varied research data
• Create and test novel machine learning algorithms
• Collaborate to integrate ML-driven solutions
• Ensure reproducible workflows for data analysis
Requirements:
• BSc in a related technical field; MSc/PhD favored
• 4+ years in deep learning/AI environm...
Your role will involve analyzing diverse internal R&D data to identify essential trends and develop innovative AI solutions. By collaborating with a diverse team of scientists and engineers, you will contribute to crafting the first commercially viable quantum computer. Mastering state-of-the-art tools and methodologies will be key to your success in this position.
Key Responsibilities:
• Analyze diverse R&D data for actionable insights
• Develop learning strategies for varied research data
• Create and test novel machine learning algorithms
• Collaborate to integrate ML-driven solutions
• Ensure reproducible workflows for data analysis
Requirements:
• BSc in a related technical field; MSc/PhD favored
• 4+ years in deep learning/AI environm...
Apply for this Job
Submit your application for the Advanced AI Specialist in Representation Learning and R&D Solutions position at Xanadu.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
toronto, Canada
Posted:
May 22, 2026
Deadline:
July 01, 2026