Staff ML Engineer

TORONTOonsitestaff

Posted today · via Workday

About this role

Job Description What is the opportunity? This is an opportunity to work at RBC Wealth Management Technology Data team with a group of technology professionals dedicated to delivering transformative ML solutions to Wealth business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. We are looking for an experienced and visionary Staff Machine Learning Engineer to spearhead advanced ML initiatives, lead end-to-end project delivery, manage and mentor a high-performing ML engineering team, and drive technical innovation across the Wealth Management data domain.…

Read the full description on 0000050079 London Branch Of Royal Bank Of Canada's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, java, sql, express, graphql…

2

Level fit

This role is staff-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in TORONTO. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonjavasqlexpressgraphqlrestsnowflakeawsazurekubernetesdockerteams

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