About Us
Deep Genomics aims to revolutionize drug development using artificial intelligence built to decode RNA biology and RNA therapeutics. Our proprietary AI platform enables us to decode the enormous complexity of RNA biology to find novel targets mechanisms and molecules that are not accessible through traditional methods. Founded in 2015 our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company as well as machine learning statistical genetics applied data science deep bioinformatics software engineering and laboratory automation. Deep Genomics is based in Toronto Ontario and Cambridge Massachusetts.
Opportunity
We are looking for a Senior MLOps Engineer who can make our training and inference pipelines highly performant scalable and replicable. In this role you will collaborate closely with our ML data science and software engineering teams to develop and design new systems from scratch as well as re-engineering our existing workflows and applications. You will also guide development of new infrastructure and processes.
Youll have the opportunity to make real changes at our company. How do you believe Deep Genomics should consume genomic data schedule training workloads evaluate model performance and make inference available to applications? Wed love to discuss it with you and ultimately let you drive the direction.
Ideal Candidate
We are looking for someone with 3+ years of experience who can adapt to changing requirements in a rapidly-evolving field and who can also help their colleagues improve their skills and understanding.
