Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
RB
Machine Learning Software Engineer, Winter Student Opportunities, 4-8 Months
Posted 2 days ago
About the role
- Student machine learning software engineer building end-to-end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production-ready software.
Responsibilities
- Build machine learning-based software solutions for important problems
- Collaborate with research and business teams to converge on the best solutions
- Optimize algorithms and prototypical solutions for efficient implementation
- Extend prototypes into fully functional, polished solutions for internal and/or external use
- Support projects with thorough documentation of usage, design decisions, and capabilities
- Extract, transform, and load massive datasets using distributed computing frameworks such as Hadoop and Spark
- Work on projects end to end, from data preprocessing and machine learning algorithms to front-end development
Requirements
- Currently working toward a bachelor's or master's degree in Computer Science, Computer Engineering, Software Engineering, or equivalent
- Some software development experience, including co-op and internships
- Experience writing software in a major language such as C++, C#, Java, or Python
- Familiarity with the Unix command line and bash scripting
- Experience with deep learning packages such as TensorFlow, Theano, Keras, and PyTorch is an asset
- Exposure to distributed computing frameworks such as Hadoop and Spark is an asset
- Exposure to SQL, NoSQL, and graph databases is an asset
- Resume and academic transcripts required in one PDF document
Benefits
- Progressive and collaborative team environment
- Opportunity to make a difference and lasting impact from a local-to-global scale
- Access to rich and massive datasets
- Computational resources supporting machine learning development
- Inclusive and equitable workplace
- Candidate accommodations during the recruitment process
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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