Drive innovation in genetic medicine as a Senior Engineer specializing in Machine Learning at Deep Genomics. Engage in compelling projects utilizing your deep learning skills and mathematical expertise.
In this Senior Research Engineer position at Deep Genomics, you will connect the dots between experimental ML research and production systems. Candidates should have a robust understanding of ML architectures and superb PyTorch coding capabilities. Your role involves designing core tooling, enabling other researchers to advance quickly and efficiently.
Key Responsibilities:
• Create and optimize the infrastructure for research
• Refactor and enhance experimental code for efficiency
• Implement and assess deep learning models using PyTorch




• Test and debug intricate ML systems rigorously
• Evaluate trade-offs to balance rapid research with technical debt
Requirements:
• Understanding of calculus, linear algebra, and probability
• Proficiency in machine learning and deep learning concepts
• Advanced skills in PyTorch and coding optimization
• Experience with debugging and software performance
• Ability to navigate ambiguous research scenarios
Utilize your engineering and machine learning expertise to impact drug discovery at Deep Genomics.
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📌 Senior Engineer Machine Learning Deep Genomics (Toronto)
🏢 Amplitude Venture Capital
📍 Toronto