ML Software Engineer Co-op — Build Real ML Solutions

RBC; Vancouver; On-site; CAD 60,000 - 90,000; Full time

Job summary

RBC Borealis is seeking a Co-op Machine Learning Software Engineer to work on end-to-end ML projects, from data preprocessing to deploying ML models and related frontend work. You will collaborate with researchers on large-scale datasets and leverage resources for reinforcement learning, computer vision, and other areas.

You will gain hands-on experience with widely-used ML packages and distributed computing frameworks while contributing to cutting-edge AI initiatives within Canada’s largest

Qualifications

• Degree: pursuing Bachelor's or Master's in Computer Science, Computer Engineering, Software Engineering, or equivalent.

Responsibilities

• Build ML-based software solutions for real problems.
• Collaborate with research and business teams to select optimal solutions.
• Optimize algorithms for efficient implementation.
• Extend prototypes into polished, deployable solutions.
• Document usage, design decisions, and capabilities thoroughly.
• Handle large datasets with distributed frameworks like Hadoop or Spark.

Job description

RBC Borealis is seeking a Co-op Machine Learning Software Engineer to work on end-to-end ML projects, from data preprocessing to deploying ML models and related frontend work. You will collaborate with researchers on large-scale datasets and leverage resources for reinforcement learning, computer vision, and other areas.

You will gain hands-on experience with widely-used ML packages and distributed computing frameworks while contributing to cutting-edge AI initiatives within Canada’s largest