Senior Machine Learning Engineer at RBC Borealis

Spearhead innovations in machine learning as a Senior Machine Learning Research Engineer at RBC Borealis in Toronto. Collaborate on breakthrough AI projects utilizing massive datasets and cutting-edge algorithms. As a key player in the applied research team, you will effectively address challenging problems by developing robust machine learning software solutions. This full-time role emphasizes collaboration, rapid prototyping, and effective integration of algorithms, making it perfect for those passionate about leveraging data to create meaningful solutions. Key Responsibilities:

• Lead the development of scalable machine learning software solutions
• Collaborate with stakeholders for rapid prototyping of solutions
• Conduct comparative analysis with existing algorithms
• Optimize prototype solutions to enhance performance
• Work with engineering teams to integrate solutions into products

Requirements:

• Master's or PhD in relevant technical field
• 5+ years of applied machine learning experience
• Proficient in Python 3.x and modular software design
• Experience with deep learning frameworks (e.g., PyTorch, Tensorflow)
• Strong collaborative and communication skills

Elevate the impact of machine learning projects at RBC Borealis by bringing your expertise to Toronto. #J-18808-Ljbffr