At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians.
The impact you'll make
As a Machine Learning Engineer working with the personalization team of Canada’s largest grocery retailer, you will be responsible for designing, developing, and implementing machine learning models and algorithms to enhance customer experiences and drive business growth. You will collaborate closely with cross-functional teams, data scientists, and software engineers to deliver innovative solutions that cater to individual customer preferences.
What you'll do
- Algorithm Productionisation: Collaborate with the enterprise Data Science team to design and implement machine learning algorithms and models to create personalized recommendations, product suggestions, and tailored shopping experiences.
- Google Cloud Platform Expertise: Utilize Google Cloud Platform (GCP) services and tools to build scalable and efficient machine learning solutions. Leverage GCP products like BigQuery, AI Platform, and Dataflow to process and analyze large datasets.
- Model Deployment and Monitoring: Deploy machine learning models as web services to production environment and implement monitoring systems to ensure model performance and accuracy over time.
- Data Processing and Feature Engineering: Work on preprocessing pipelines, feature engineering, and data augmentation to ensure high-quality input for machine learning models.
- Collaboration: Collaborate with data scientists, product managers, and software engineers to understand business requirements and translate them into effective machine learning solutions.
- Evaluation and Optimization: Continuously evaluate model performance, iterate on existing models, and optimize algorithms for improved accuracy and efficiency.
- Documentation: Document code, models, and processes effectively for knowledge sharing and future reference.
- Stay Current: Stay abreast of the latest advancements in machine learning, personalization, and retail technology to bring innovative ideas and best practices to the team.
What you'll need
- Master's or Ph.D. in Computer Science or a STEM field
- Experience with taking Machine Learning projects to production
- Strong programming skills in languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, XGBoost, Scikit-Learn)
- Hands-on experience deploying and maintaining web-services to serve Machine Learning solutions
- Extensive experience working with Google Cloud Platform and its data processing & ML components
- Solid understanding of Propensity Score Modeling, Market Mix Modeling, Collaborative Filtering
- Familiarity with large-scale data processing, distributed computing, and cloud-based data solutions
- Excellent communication and collaboration skills, with the ability to work in a cross-functional team environment
If you are passionate about leveraging machine learning to enhance retail personalization and thrive in a dynamic and innovative environment, we would love to hear from you. Join us in revolutionizing the way people experience retail!
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. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!
If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.
We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.
