Machine Learning Engineer - Canada

Responsibilities

• Develop a strong understanding of the business problems we are trying to solve.
• Together with Data Scientists and engineering and product leadership, identify and define the ML systems we want to build - and then design, implement, and launch those systems.
• Contribute to model building, evaluation, and launch.
• Ensure that we are able to run modeling experiments and launches with maximal efficiency, quality, reliability, and repeatability in a large-scale environment with > 2TB of incoming data per day and a total corpus in excess of 20PB.
• Mentor more junior MLEs and Data Scientists.

Requirements

• 4+ years of full-time hands-on experience building scaled ML systems, or equivalent.
• Excellent coding and system design skills. Strong practical ML knowledge, working knowledge of ML theory and how it influences modeling choices.
• High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment
• Ability to collaborate closely with Data Scientists, Software Engineers, and Product Manager.
• Strong communication skills and ability to influence roadmaps and ML strategy.
• Experience with cloud computing services or platforms (preferably AWS)
• Experience with both Snowflake and Databricks is a plus
• Bachelor’s Degree or above in a quantitative field

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