Explore cutting-edge machine learning technologies as a Research Engineer at RBC Borealis. Use your expertise to develop innovative software solutions and collaborate on transformative AI projects.
As a Machine Learning Research Engineer, you’ll join RBC Borealis's applied research team. This role requires you to apply your advanced degree in computer science or similar fields and a minimum of two years of experience in applied machine learning. You'll engage in rapid prototyping, enhance algorithms, and work closely with stakeholders to deliver impactful AI solutions.
Key Responsibilities:
• Build machine learning-based software solutions
• Collaborate with stakeholders for rapid prototyping
• Conduct algorithm comparisons and benchmarks




• Optimize and review prototype solutions
• Support integration of algorithms into products
Requirements:
• Master’s or PhD in a related field
• 2+ years in applied machine learning
• Proficiency in Python 3.x and deep learning frameworks
• Solid understanding of software engineering best practices
• Excellent communication and collaboration skills
Maximize your impact in machine learning and AI while working within a leading research environment at RBC Borealis.
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📌 Machine Learning Research Engineer at RBC (Montreal)
🏢 Socket.dev
📍 Montreal