Senior Machine Learning Engineer - Retail Media Platform
Toronto, Canada
Technology – Data Science /
Full-time /
Hybrid
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.
As a Senior Machine Learning Engineer on our team, you will use an abundance of data from the Loblaw enterprise in order to build machine learning solutions. Your team will collaborate with business stakeholders and engineers within Loblaw Digital to deliver models to production that help in driving our Ecommerce business including Search, Recommendations, Media and Supply Chain optimization. You will design experiments to measure your success with KPIs that include adoption, conversion & retention. You will use data every single day to uncover meaningful insights that inform your experimentation strategy and ultimately, your product roadmap.
What you’ll do
- Build robust, scalable, high-performance ML solutions based on massive structured and unstructured datasets from various sources
- Work with Engineering and Data Platform teams to build and deploy your ML models into production
- Work cross-functionally with business teams — Product, Trading, Marketing, Supply Chain, Web Analytics etc. — to source data, establish requirements, and define success
Does this sound like you?
- MS or PhD in a STEM field — especially computer science — or equivalent work experience in a Data Scientist/Machine Learning Engineer or closely related role
- Strong experience with building data science and machine learning solutions
- Creative, resourceful, and productive problem-solver
- Able to work independently and collaboratively
- Passion for building ML solutions to fluid, open-ended problems
- Experience in software development best practices
- Comfortable with advanced SQL querying
- Proficient in Python and familiar with a compiled language
- Experience with big-data tools, e.g. Spark, Beam, Kafka.
- Experience with data viz tools such as Tableau, Looker, etc.
#LI-BT
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.
