Senior Machine Learning Engineer - Personalization

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.

Why is this role important?

We're seeking a Senior Machine Learning Engineer to lead the development of our next-generation personalization systems, including our Multimodal Recommendation Engine and emerging generative AI initiatives. You'll work with massive-scale datasets across our retail ecosystem to build sophisticated personalization experiences that impact millions of Canadians daily.

What You'll Do:

• Architect and implement advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user behavior, item features, offer data, and contextual signals.
• Lead the development and optimization of generative AI applications for personalized product discovery, search enhancement, and customer engagement.
• Expert in leveraging cutting-edge GenAI techniques, prompt engineering, transformer architectures, and own end-to-end development of scalable AI/ML pipelines.
• Design, build, and maintain highly scalable, robust, and efficient cloud infrastructure using Google Cloud Platform (GCP) services, including Vertex AI, BigTable, BigQuery, AlloyDB, 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

Does This Sound Like You:

• Master's or PhD in Computer Science, Machine Learning, or related field.
• 8+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization.
• Strong expertise in deep learning frameworks (PyTorch or TensorFlow) and building production-grade ML systems.
• Proven experience with GCP services and ML infrastructure at scale.
•  Proficient in Python, SQL, and cloud-native development.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Track record of deploying ML models to production at scale.

Preferred Qualifications:

• Experience with multimodal deep learning architectures and generative AI models.
• Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering).
• Expertise in building real-time inference systems.
• Experience with distributed computing frameworks (Spark) and big data processing.
• Familiarity with Apache Airflow (Cloud Composer) and CI/CD pipelines.

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.

Employment Type:

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.

In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Hiring Range / Échelle salariale à l’embauche :

$128,000.00 - $176,000.00 / 128.000,00$ - 176.000,00$ (per year / par an)

A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.

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