Co-op ML Software Engineer — ML R&D & Big Data

0000050007 Royal Bank of Canada; Toronto; On-site; CAD 42,000 - 54,000; Full time

Job summary

RBC Borealis seeks a Co-op Machine Learning Software Engineer to work end-to-end on ML projects, from data processing to deploying ML models and front-end work. You will join a team collaborating with researchers and leverage massive datasets with scalable resources.

Ideal candidates are pursuing a CS/CE/SE degree, have coding experience in C++, C#, Java, or Python, and are familiar with Unix bash. Experience with TensorFlow, PyTorch, or Spark is a plus.

Qualifications

• Pursuing a bachelor's or master's in CS/CE/SE or equivalent.
• Experience with one of major languages (C++, C#, Java, Python) is expected.
• Familiarity with Unix command line and bash scripting.
• Experience with Deep Learning packages is a plus.
• Exposure to distributed computing frameworks and databases is a plus.

Responsibilities

• Build ML-based software solutions for significant problems.
• Collaborate with research and business teams to converge on best solutions.
• Optimize algorithms for efficient implementation and extend prototypes into production-ready solutions.
• Document usage, design decisions, and capabilities thoroughly.
• Handle large datasets using distributed frameworks like Hadoop/Spark.

Skills

C++

C#

Java

Python

Bash

TensorFlow

PyTorch

Keras

Theano

Hadoop

Spark

SQL

NoSQL

Graph databases

Education

Bachelor’s/Master’s in CS/CE/SE

Tools

Hadoop

Spark

TensorFlow

PyTorch

Keras

Theano

Job description

RBC Borealis seeks a Co-op Machine Learning Software Engineer to work end-to-end on ML projects, from data processing to deploying ML models and front-end work. You will join a team collaborating with researchers and leverage massive datasets with scalable resources.

Ideal candidates are pursuing a CS/CE/SE degree, have coding experience in C++, C#, Java, or Python, and are familiar with Unix bash. Experience with TensorFlow, PyTorch, or Spark is a plus.