Senior Machine Learning Operations Engineer (ML Ops) - Accelerating Drug Discovery with AI

Toronto, Ontario
Machine Learning /
Full-time /
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.

Join us in building the future of AI-driven drug discovery as a Senior MLOps Engineer. You will architect highly scalable, cutting-edge systems to streamline our ML pipelines from data ingestion to model deployment - accelerating our ability to translate breakthrough insights into life-changing therapies. Work closely with our world-class teams to shape core infrastructure while rapidly prototyping innovative solutions.

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.


    • Package models, deploy to production environments, and monitor usage and performance.
    • Design, implement, and deploy ways to make complex deep learning models usable by biologists and other domain specialists.
    • Manage ML infrastructure, both on premises and in the cloud.
    • Rapidly prototype POCs in partnership with ML scientists and other stakeholders.
    • Test models at scale and ensure CI/CD best practices are followed by the whole team.


    • 3+ years experience in production ML systems, model deployment.
    • Proficiency in Kubernetes, cloud technologies (AWS/Azure/GCP) and managing on-prem GPUs.
    • Background in distributed systems, containerization, CI/CD.
    • Self-motivated problem solver with excellent communication skills.

Nice to have:

    • Previous startup experience bringing ML prototypes to production.
    • Familiarity with bioinformatics data/pipelinesKnowledge of MLFlow, Kubeflow, Ray, Dask, Fluidstack, or similar tools.

What we offer:

    • The opportunity to transform drug discovery through AI.
    • A competitive salary plus equity compensation (ESOPs).A wide array of company-paid benefits.
    • Flexibility in remote working.
    • Exceptional opportunities for learning and growth in a world-class team of researchers and software developers, working at the intersection of the most exciting areas of science and technology.
Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.