Job Description
At Loblaw Digital, we understand our customers expect the best. Whether it's creating the most innovative online shopping experience or designing impactful apps, we are committed to excellence.
Location & Policy
- Based in Downtown Toronto
- Return To Office Policy: 4 days in-office
Role Overview
We are seeking a Staff Machine Learning Engineer to shape the future of personalization at Loblaw Digital. This high-impact, hands-on leadership role involves guiding the architecture, scalability, and innovation of ML systems powering personalized experiences for millions of Canadians.
Responsibilities
- Define and drive technical vision for personalization and recommendation systems focusing on scalability, performance, and innovation.
- Architect and develop large-scale, production-ready ML systems (deep learning models, real-time inference, ML pipelines).
- Leverage multimodal data (text, image, behavioral, contextual) for recommendations.
- Lead initiatives in Generative AI, including LLMs.
- Collaborate with engineering managers, ML engineers, and product teams to implement business goals.
- Set standards for technical excellence and oversee architecture reviews, code quality, and system observability.
- Mentor engineers, conduct reviews, and assist in architectural decisions.
- Partner with infrastructure teams to evolve ML platforms using tools such as GCP, Vertex AI, BigQuery, Airflow, Docker, Kubernetes.
- Develop proof-of-concept projects to explore new ideas.
- Stay updated on AI/ML advancements.
Requirements
- 10+ years in ML engineering with leadership experience.
- Expertise in recommendation systems, personalization, or search.
- Deep understanding of deep learning (PyTorch, TensorFlow) and large-scale ML infrastructure.
- Experience with real-time inference systems and multimodal architectures.
- Proficiency in Python, SQL, and GCP.
- Familiarity with Docker, Kubernetes, Airflow, Spark.
- Strategic thinking and strong communication skills.
- Passion for mentorship and fostering high-performance culture.
Success Factors
- Collaborate with top engineers, data scientists, and product teams.
- Lead impactful ML projects.
- Make strategic decisions shaping personalization and ML stack.
- Elevate technical capabilities through mentorship and innovation.
Company Values
We value authenticity, trust, connection, diversity, and inclusion. Our team is passionate, innovative, and collaborative.
Application Details
- Employment Type: Full-time
- Role: Regular
- Loblaw Digital embraces diversity and offers accommodations for disabilities.
Legal & Conduct
We prioritize legal compliance and uphold our Code of Conduct, reflecting our commitment to doing the right thing.