Machine Learning Software Engineer
About the role
Why is this role important?
Team Mission:
Our mission is to empower data scientists to deploy robust, scalable, and efficient ML services with a seamless development experience.
Job Description:
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.
What You'll Do:
- 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.
Does This Sound Like You?
- 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.
- Automation-First Approach – Commitment to streamlining and automating infrastructure to enhance scalability and reliability.
- Adaptability & Innovation – Willingness to quickly learn new technologies and continuously improve the platform.
- Ownership & Initiative – Ability to take ownership of key platform components and drive impactful improvements.
Qualifications:
- 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.
- Experience with workflow orchestration tools such as Apache Airflow (Cloud Composer).
- Expertise in CI/CD and DevOps tools for seamless integration and deployment.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Strong analytical mindset and attention to detail.
- Excellent communication skills and ability to thrive in a collaborative, fast-paced environment.
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!
How You’ll Succeed:
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.
If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.
Looking for a challenge? Good. Love an innovative work environment? Even better.
Apply today.
About Loblaw Companies Limited
Our Purpose – Live Life Well
Loblaw Companies Limited is Canada’s food and pharmacy leader, the nation’s largest retailer, and the majority unit holder of Choice Properties Real Estate Investment Trust. Loblaw – and its portfolio of grocery, health and beauty, financial services and apparel businesses – provides Canadians with an unparalleled mix of value, assortment and convenience, and offers Canadians two of the country’s most recognized brands – President’s Choice and no name.
The acquisition of Shoppers Drug Mart, along with the powerful Life Brand and Optimum brand, has only served to reinforce our leadership position in the marketplace. As well, our PC Plus program, omni-channel efforts and multicultural merchandising offerings continued to be points of differentiation for our customer experience.
In 2019, Loblaw has been recognized as one of Canada’s Top 100 Employers, Best Diversity Employers by Mediacorp Canada Inc.
IMPORTANT NOTE ABOUT FRAUD AFFECTING OUR JOBSEEKERS.
Please be advised that recruitment fraud has affected a number of Canadian companies. In such schemes, individuals posing as legitimate recruiters may request personal information and payment from those seeking employment.
Loblaw Companies Limited, its subsidiaries, and recruiting agencies will never ask for payment at any stage in the recruitment process. All legitimate postings may be accessed via our career website.
Machine Learning Software Engineer
About the role
Why is this role important?
Team Mission:
Our mission is to empower data scientists to deploy robust, scalable, and efficient ML services with a seamless development experience.
Job Description:
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.
What You'll Do:
- 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.
Does This Sound Like You?
- 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.
- Automation-First Approach – Commitment to streamlining and automating infrastructure to enhance scalability and reliability.
- Adaptability & Innovation – Willingness to quickly learn new technologies and continuously improve the platform.
- Ownership & Initiative – Ability to take ownership of key platform components and drive impactful improvements.
Qualifications:
- 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.
- Experience with workflow orchestration tools such as Apache Airflow (Cloud Composer).
- Expertise in CI/CD and DevOps tools for seamless integration and deployment.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- Strong analytical mindset and attention to detail.
- Excellent communication skills and ability to thrive in a collaborative, fast-paced environment.
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!
How You’ll Succeed:
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.
If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.
Looking for a challenge? Good. Love an innovative work environment? Even better.
Apply today.
About Loblaw Companies Limited
Our Purpose – Live Life Well
Loblaw Companies Limited is Canada’s food and pharmacy leader, the nation’s largest retailer, and the majority unit holder of Choice Properties Real Estate Investment Trust. Loblaw – and its portfolio of grocery, health and beauty, financial services and apparel businesses – provides Canadians with an unparalleled mix of value, assortment and convenience, and offers Canadians two of the country’s most recognized brands – President’s Choice and no name.
The acquisition of Shoppers Drug Mart, along with the powerful Life Brand and Optimum brand, has only served to reinforce our leadership position in the marketplace. As well, our PC Plus program, omni-channel efforts and multicultural merchandising offerings continued to be points of differentiation for our customer experience.
In 2019, Loblaw has been recognized as one of Canada’s Top 100 Employers, Best Diversity Employers by Mediacorp Canada Inc.
IMPORTANT NOTE ABOUT FRAUD AFFECTING OUR JOBSEEKERS.
Please be advised that recruitment fraud has affected a number of Canadian companies. In such schemes, individuals posing as legitimate recruiters may request personal information and payment from those seeking employment.
Loblaw Companies Limited, its subsidiaries, and recruiting agencies will never ask for payment at any stage in the recruitment process. All legitimate postings may be accessed via our career website.