AI Research Engineer specializing in ML at Deep Genomics

Transform drug discovery at Deep Genomics as an AI Research Engineer focused on Machine Learning. Optimize engineering infrastructures and ML models to enhance research outcomes.

We are searching for a candidate passionate about solving complex problems in Toronto. As a research engineer, you will bridge the gap between theoretical ML and production systems, developing essential tools for research teams. Key responsibilities include model testing, code optimization, and fostering collaboration across technical teams.

Key Responsibilities:

• Maintain and develop core tooling for rapid research iterations

• Refactor research scripts to enhance engineering consistency

• Implement and evaluate advanced ML models using Py Torch

• Conduct thorough testing of ML systems to ensure performance

• Strategically navigate technical trade-offs in rapid research

Requirements:

• Comprehensive knowledge of linear algebra and advanced ML concepts

• High proficiency with PyTorch and model optimization techniques

• Solid programming abilities focused on computational efficiency

• Experience in software debugging and system performance

• Willingness to engage with unstructured research code

Use your skills to lead innovative solutions in genetic medicine at Deep Genomics, contributing to patient outcomes.
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