Machine Learning Software Engineer

Machine Learning Software Engineer Location Toronto, ON M5V 2V9 : At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we're up for the challenge. From our office in Downtown Toronto, we've created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we're only just getting started. Team Mission : Our mission is to empower data scientists to deploy robust, scalable, and efficient ML services with a seamless development experience.

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We are seeking a Machine Learning Software Engineer to join our Machine Learning Platform team. In this role, you will design, build, and maintain scalable, high-performance cloud infrastructure that powers ML models, pipelines, and data processing. You will collaborate closely with Data Scientists and ML Engineers to ensure our platform is highly available, efficient, and easy to use.

Architect, develop, and maintain scalable cloud infrastructure using Google Cloud Platform (GCP) services such as Vertex AI, BigTable, BigQuery, and Cloud Composer.

Automate and orchestrate ML workflows, integrating data ingestion, feature engineering, training, and deployment.

Enhance platform usability and scalability, ensuring an optimized development experience for ML practitioners.

Optimize data pipelines and cloud resources for low-latency, cost-effective operations.

Implement monitoring, alerting, and failover mechanisms to ensure platform reliability and stability.

Stay at the forefront of industry trends, continuously refining best practices in cloud engineering, data engineering, and ML infrastructure.

Customer-First Mindset - Passion for building self-service ML platforms that minimize friction for data scientists.

Strong Collaboration - Ability to work closely with cross-functional teams, including Data Scientists and ML Engineers.

Problem-Solving Excellence - Analytical thinker who can identify, diagnose, and resolve technical challenges in ML pipelines, cloud infrastructure, and scalability.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 2+ years of experience in software engineering, with a focus on cloud infrastructure, data engineering, or ML platforms.
• Hands-on experience with GCP services, including Vertex AI, BigTable, BigQuery, Cloud Composer, and Cloud Storage.
• Proficiency in Python, Java, or SQL for developing scalable backend solutions.
• Expertise in CI/CD and DevOps tools for seamless integration and deployment.
• If you're excited about shaping the future of ML infrastructure and love working on cutting-edge cloud solutions, we'd love to hear from you!

At Loblaw Digital, we seek great people to continually strengthen our culture. If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we'll get along just fine.

Full time Type of Role:

Regular Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation's evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

Upholding the law is part of our Code of Conduct - it reinforces what our customers and stakeholders expect of us.

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