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Senior MLOps Engineer

deepgenomics · 30+ days ago
Negotiable
Full-time
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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.
You’ll 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? We’d 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.

Responsibilities:

  • 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.

Nice to have:

  • Previous experience in a startup and/or taking projects from inception to production.
  • Experience with either biological or genomic data and applications.

What we offer:

  • Building technologies that can directly impact the lives of patients.
  • 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.

Last updated on Mar 20, 2024

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