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.
About the role
- Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high-fidelity content using advanced techniques.
Responsibilities
- Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python
- Apply cutting-edge research in machine learning and computer graphics to solve real-world problems
- Work closely with cofounders to understand high-level product vision and translate customer requirements into technical milestones
- Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets
- Use Git to manage source code and modularize complex implementation tasks into manageable, executable components
Requirements
- Master's degree in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of relevant industry experience in a fast paced, high growth tech environment
- Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment
- Fluency with Python, Git, and the Unix shell
- Proven experience training and debugging artificial neural networks or adjacent experience
- A strong mathematical background covering linear algebra, statistics, probability, and numerical methods
- Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.
- Effective collaboration and the ability to work closely with a founding team.
- High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.
Benefits
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development
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