Senior / Staff MLOps Engineer

Staff MLOps Engineer

Series C ($300M)

Toronto, Canada - Hybrid

$250K USD base + bonus + equity

Are you looking for an exciting opportunity to lead and grow the Machine Learning Operations function at a revolutionary AI drug discovery Unicorn?

Join a Series C Biotech Unicorn who are revolutionizing drug development using AI to decode RNA biology and RNA therapeutics.

Their platform enables them to decode complex RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods.

Opportunity

We are looking for a Staff 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 they 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.

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.

Interested in applying? Please click on the Easy Apply’ button, and connect with myself on .

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