Senior Machine Learning Engineer, Retail Media Platform

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we're up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada's largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we're only just getting started!

As a Senior Machine Learning Engineer on our team, you will use an abundance of data from the Loblaw enterprise to build machine learning solutions. Your team will collaborate with business stakeholders and engineers within Loblaw Digital to deliver models to production that help in driving our Ecommerce business including Search, Recommendations, Media and Supply Chain optimization. You will design experiments to measure your success with KPIs that include adoption, conversion & retention. You will use data every single day to uncover meaningful insights that inform your experimentation strategy and ultimately, your product roadmap.

Key Responsibilities:

• Design, build, and maintain highly scalable, robust, and efficient cloud infrastructure using Google Cloud Platform (GCP) services, including Vertex AI, BigTable, BigQuery, and Cloud Composer.
• Develop automation and orchestration of ML pipelines, integrating data ingestion, feature engineering, training, and deployment processes.
• Collaborate with cross-functional teams to understand their needs and build solutions that improve platform usability, scalability, and the overall development experience.
• Optimize data processing pipelines and cloud resources to ensure low-latency, cost-effective operation.
• Implement monitoring, alerting, and failover strategies to ensure platform reliability.
• Stay updated with industry trends and best practices in cloud engineering, data engineering, and machine learning.

Requirements:

• 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 and/or data engineering.
• Hands-on experience with Google Cloud Platform services such as Vertex AI, BigTable, BigQuery, Cloud Composer, Cloud Storage, etc.
• Proficiency in one or more programming languages such as Python, Java, and SQL.
• Experience with orchestration tools such as Apache Airflow (Composer).
• Knowledge of CI/CD pipelines and DevOps tools for continuous integration and deployment.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and ability to work in a collaborative, fast-paced environment.

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We're able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world-class technologies to craft products our customers will love!