Machine Learning Software Developer

1 week ago

Calgary, Alberta, Canada Royal Bank of Canada Full time

We are seeking a highly skilled and enthusiastic software engineer to join our team at Royal Bank of Canada. As a Machine Learning Software Engineer, you will be at the forefront of machine learning technology, working on challenging problems and collaborating with leading researchers in the field.

**Key Responsibilities:**

  • Design and develop machine learning-based software solutions to solve complex problems in the financial services industry.
  • Optimize algorithms and prototypical solutions for efficient implementation, ensuring scalability and reliability.
  • Provide thorough documentation of usage, design decisions, and capabilities to support project success.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
  • Stay up-to-date with the latest advancements in machine learning and deep learning technologies.

**Requirements:**

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent.
  • Strong software development experience, including co-op and internship experience.
  • Proficiency in one or more major programming languages, such as C++, C#, Java, or Python.
  • Familiarity with Unix command line and bash scripting.
  • Experience with deep learning packages, such as TensorFlow, Theano, Keras, or PyTorch, is an asset.
  • Familiarity with Hadoop, Spark, SQL, NoSQL, and graph databases is an asset.

**What We Offer:**

  • A dynamic and inclusive work environment that values diversity and innovation.
  • Opportunities for professional growth and development in a rapidly evolving field.
  • A competitive salary and benefits package.
  • The chance to work on high-impact projects that make a difference in the financial services industry.

**About Us:**

Royal Bank of Canada is a leading financial institution committed to advancing machine learning science and innovation. We are recognized for our industry-leading work in responsible and ethical AI and our commitment to AI innovation, with over 90 scientific publications in top-tier academic venues and 105+ patents.

We are an equal opportunities employer and welcome applications from diverse candidates. We are committed to building inclusive teams and an equitable workplace that values diversity and promotes innovation.

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