Senior Research Engineer, Machine Learning
Job Description
About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
Ideal Candidate
You are a research engineer who bridges the gap between fast-paced, experimental academic ML research and robust production systems. You possess a solid mathematical foundation and a deep understanding of modern ML architectures, combined with the technical skills to write clean and highly optimized PyTorch code. You thrive in ambiguity and are perfectly comfortable diving into messy research scripts to refactor, optimize, and build out the necessary scaffolding. You understand the delicate balance between rapid iteration and technical debt, and you take pride in creating core tooling that empowers research teams to move fast without breaking everything. Above all, you are a critical thinker and collaborative problem solver eager to push the boundaries of research.
About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
Ideal Candidate
You are a research engineer who bridges the gap between fast-paced, experimental academic ML research and robust production systems. You possess a solid mathematical foundation and a deep understanding of modern ML architectures, combined with the technical skills to write clean and highly optimized PyTorch code. You thrive in ambiguity and are perfectly comfortable diving into messy research scripts to refactor, optimize, and build out the necessary scaffolding. You understand the delicate balance between rapid iteration and technical debt, and you take pride in creating core tooling that empowers research teams to move fast without breaking everything. Above all, you are a critical thinker and collaborative problem solver eager to push the boundaries of research.