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
- Strong 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 setting at RBC Borealis.

📌 Machine Learning Research Engineer at RBC (Montreal)
🏢 Socket.dev
📍 Montreal