Senior Machine Learning Engineer

4 months ago

Toronto, CanadaSenior

Responsibilities

Design and implement enterprise-scale MLOps systems and platforms spanning data ingestion, feature pipelines, model training, validation, deployment, and monitoring.
Productionalize and support scalable, efficient machine learning models and solutions.
Define and enforce model lifecycle standards for versioning, monitoring, alerting, traceability, and highly available low-latency inference.
Refine data management strategies for performance across extensive data loads.
Mentor teams on machine learning engineering deployment practices and promote engineering excellence.
Contribute to complex technical decisions affecting broader business strategy.
Improve CI/CD practices and track developments in machine learning and MLOps.
Enable safe deployment approaches including shadow deployments, canary releases, and gradual rollouts.

Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
Expertise in high-performance backend technologies, preferably including Golang.
Extensive experience with cloud or on-premises distributed systems, data-intensive applications, and large-scale backend system design.
Deep knowledge of machine learning operationalization, including current tools, frameworks, and trends.
Proven ability to solve sophisticated technical problems and develop novel solutions.
Experience with software development, deployment, and continuous improvement of complex CI/CD pipelines.
Curiosity, technological enthusiasm, and a desire to solve difficult problems.

Comprehensive health, dental, and vision plans for employees and dependents.
Paid time off, health days, personal obligation days, and flexible work schedules.
Competitive retirement matching plans and equity packages.
Generous parental leave for birthing, non-birthing, and adoptive parents.
Annual well-being allowance, fitness discounts, and group wellness activities.
Commuter benefits and discounts where available.
Employee assistance program and mental health first aid program.
One volunteer day per year and donation matching.
Community events, continuous learning resources, and diversity, equity, and inclusion support.
The posting indicates an onsite work arrangement (#LI-ONSITE).

501-1,000 employees