Senior Machine Learning Engineer, Personalization

Loblaw Companies Limited; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading Canadian retailer is seeking a Senior Machine Learning Engineer to develop personalization systems that improve online shopping experiences. This role involves working with massive datasets and cutting-edge technologies. Ideal candidates will have extensive experience in ML engineering, deep learning frameworks, and GCP services. A graduate degree in a relevant field is also required. The position offers a collaborative and innovative work environment in Toronto.

Qualifications

• 5+ years of experience in machine learning engineering with a focus on recommendation systems.
• Strong expertise in building production-grade ML systems.
• Track record of deploying ML models to production at scale.

Responsibilities

• Architect and implement advanced deep learning models for recommendation systems.
• Lead development of generative AI applications for personalized product discovery.
• Collaborate with product managers to translate business requirements into technical solutions.

Skills

Deep learning frameworks (PyTorch or TensorFlow)

Machine learning engineering

Recommendation systems

GCP services

Containerization (Docker)

Orchestration (Kubernetes)

Education

Master's or PhD in Computer Science, Machine Learning, or related field

Tools

GCP services (Vertex AI, BigTable, BigQuery, Cloud Composer)

Python

SQL

Distributed computing frameworks (Spark)

Job description

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 and maintain highly scalable ML infrastructure using GCP services (Vertex AI, BigTable, BigQuery, Cloud Composer) capable of handling millions of daily predictions.
• Build and optimize end-to-end ML pipelines for model training, deployment, and monitoring at scale.
• Drive technical strategy and architecture decisions for the personalization platform.
• Collaborate with product managers, data scientists, and engineers to translate business requirements into robust technical solutions.
• Lead experimentation strategies with measurable KPIs including adoption, conversion & retention.
• Mentor junior team members and contribute to building a strong technical culture.

Does This Sound Like You?

• Master's or PhD in Computer Science, Machine Learning, or related field.
• 5+ 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.

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.

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