Elevate your career as a Machine Learning Research Engineer at RBC Borealis, focusing on NLP and generative AI. Collaborate with experts and utilize massive datasets to develop cutting-edge solutions.
You will be integral to our research team, leading machine learning projects that address real-world challenges. Your role encompasses everything from technical development to prototype optimization, ensuring that every project aligns with stakeholder needs. The successful candidate will thrive in a collaborative environment that fosters creativity and expertise.
Key Responsibilities:
• Spearhead the creation of machine learning software
• Collaborate on rapid prototyping with business teams
• Analyze and compare performance of algorithms
• Enhance prototype solutions through optimization
• Develop tools to streamline research processes
Requirements:
• Master’s or PhD in relevant fields
• A minimum of 5 years in machine learning
• Proficient in Python 3.x and software best practices
• Familiarity with deep learning libraries like TensorFlow
• Strong collaborative and communication skills
Harness your machine learning expertise to drive innovation at RBC Borealis.
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📌 Machine Learning Research Engineer Role at RBC (Toronto)
🏢 ODAIA
📍 Toronto