Staff Machine Learning Engineer
About the role
Why is this role important?
We are looking for a Staff Machine Learning Engineer to help shape the future of personalization at Loblaw Digital. This is a high-impact, hands-on technical leadership role that goes beyond individual contribution—your work will guide the architecture, scalability, and innovation of ML systems that power personalized experiences for millions of Canadians.
You will collaborate with engineering leaders, product managers and ML practitioners to develop cutting-edge systems—including multimodal recommendation engines, generative AI applications, and real-time inference platforms. As a Staff Engineer, you will act as a force multiplier: solving technically complex problems, mentoring senior engineers, and driving long-term strategy for our ML platforms.
As a Staff Machine Learning Engineer, you’ll be empowered to shape the future of personalized commerce through your technical leadership, curiosity, and impact. You'll have the opportunity to:
-
Work with world-class engineers, data scientists, and product teams
-
Lead development on cutting-edge ML projects that directly affect millions of customers.
-
Make strategic decisions that shape our personalization roadmap and ML stack.
-
Elevate the technical capabilities of the organization through mentorship and innovation.
What You'll Do:
-
Define and drive the technical vision for personalization and recommendation systems, with a focus on scalability, performance, and innovation.
-
Architect and lead development of large-scale, production-grade ML systems, including deep learning models, real-time inference services, and end-to-end ML pipelines.
-
Champion the use of multimodal data (text, image, behavioral, contextual) to power highly personalized recommendations.
-
Lead initiatives in generative AI, driving product discovery experiences through LLMs and related models.
-
Collaborate closely with Engineering Managers, ML Engineers, and Product to translate complex business goals into robust, scalable systems.
-
Set standards for technical excellence, contributing to architecture reviews, code quality, observability, and performance.
-
Mentor senior engineers, conduct design and code reviews, and help teams navigate architectural trade-offs.
-
Partner with infrastructure teams to evolve our ML platform and tooling using GCP, Vertex AI, BigQuery, Airflow (Cloud Composer), Docker, and Kubernetes.
-
Rapidly prototype and develop proof-of-concept projects to explore and validate new ideas
-
Stay current on advancements in AI/ML and continuously evaluate new technologies for potential adoption.
Does This Sound Like You?
-
10+ years of experience in ML engineering, with a track record of technical leadership on high-impact ML systems.
-
Proven expertise in recommendation systems, personalization, or search ranking.
-
Deep understanding of deep learning (especially with PyTorch or TensorFlow) and ML infrastructure at scale.
-
Experience building real-time inference systems and working with multimodal architectures.
-
Proficient in Python, SQL, and cloud-native development (preferably GCP).
-
Experience designing and deploying robust, observable, and scalable systems.
-
Familiar with tools like Docker, Kubernetes, Airflow (Cloud Composer), and distributed compute frameworks (e.g., Spark).
-
Able to think strategically and influence decisions beyond your immediate team.
-
Strong communication skills—you can explain complex technical concepts to non-technical stakeholders and collaborate across disciplines.
-
Passionate about mentorship, knowledge sharing, and fostering an inclusive, high-performing technical culture.
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.
Staff Machine Learning Engineer
About the role
Why is this role important?
We are looking for a Staff Machine Learning Engineer to help shape the future of personalization at Loblaw Digital. This is a high-impact, hands-on technical leadership role that goes beyond individual contribution—your work will guide the architecture, scalability, and innovation of ML systems that power personalized experiences for millions of Canadians.
You will collaborate with engineering leaders, product managers and ML practitioners to develop cutting-edge systems—including multimodal recommendation engines, generative AI applications, and real-time inference platforms. As a Staff Engineer, you will act as a force multiplier: solving technically complex problems, mentoring senior engineers, and driving long-term strategy for our ML platforms.
As a Staff Machine Learning Engineer, you’ll be empowered to shape the future of personalized commerce through your technical leadership, curiosity, and impact. You'll have the opportunity to:
-
Work with world-class engineers, data scientists, and product teams
-
Lead development on cutting-edge ML projects that directly affect millions of customers.
-
Make strategic decisions that shape our personalization roadmap and ML stack.
-
Elevate the technical capabilities of the organization through mentorship and innovation.
What You'll Do:
-
Define and drive the technical vision for personalization and recommendation systems, with a focus on scalability, performance, and innovation.
-
Architect and lead development of large-scale, production-grade ML systems, including deep learning models, real-time inference services, and end-to-end ML pipelines.
-
Champion the use of multimodal data (text, image, behavioral, contextual) to power highly personalized recommendations.
-
Lead initiatives in generative AI, driving product discovery experiences through LLMs and related models.
-
Collaborate closely with Engineering Managers, ML Engineers, and Product to translate complex business goals into robust, scalable systems.
-
Set standards for technical excellence, contributing to architecture reviews, code quality, observability, and performance.
-
Mentor senior engineers, conduct design and code reviews, and help teams navigate architectural trade-offs.
-
Partner with infrastructure teams to evolve our ML platform and tooling using GCP, Vertex AI, BigQuery, Airflow (Cloud Composer), Docker, and Kubernetes.
-
Rapidly prototype and develop proof-of-concept projects to explore and validate new ideas
-
Stay current on advancements in AI/ML and continuously evaluate new technologies for potential adoption.
Does This Sound Like You?
-
10+ years of experience in ML engineering, with a track record of technical leadership on high-impact ML systems.
-
Proven expertise in recommendation systems, personalization, or search ranking.
-
Deep understanding of deep learning (especially with PyTorch or TensorFlow) and ML infrastructure at scale.
-
Experience building real-time inference systems and working with multimodal architectures.
-
Proficient in Python, SQL, and cloud-native development (preferably GCP).
-
Experience designing and deploying robust, observable, and scalable systems.
-
Familiar with tools like Docker, Kubernetes, Airflow (Cloud Composer), and distributed compute frameworks (e.g., Spark).
-
Able to think strategically and influence decisions beyond your immediate team.
-
Strong communication skills—you can explain complex technical concepts to non-technical stakeholders and collaborate across disciplines.
-
Passionate about mentorship, knowledge sharing, and fostering an inclusive, high-performing technical culture.
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.