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 innovative 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 setting 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.

📌 Machine Learning Research Engineer Role at RBC (Toronto)
🏢 ODAIA
📍 Toronto