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.
We are looking for a passionate and experienced Engineering Manager, Machine Learning to join our growing AdTech team. As the Engineering Manager, Machine Learning, you will lead a team of talented engineers in building and scaling cutting-edge machine learning solutions that power our advertising platform. You will be responsible for the technical direction and execution of projects that leverage machine learning to optimize ad targeting, personalization, campaign performance, and more.
What You'll Do
- Lead, mentor, and grow a team of Machine Learning Engineers, fostering a culture of collaboration, innovation, and technical excellence.
- Design, develop, and deploy machine learning models and algorithms at scale on Google Cloud Platform (GCP), leveraging tools like TensorFlow, BigQuery, and Dataflow.
- Build and maintain robust data pipelines to support machine learning models, ensuring data quality and integrity.
- Collaborate closely with product managers, data scientists, and other engineering teams to define requirements, design solutions, and deliver impactful results.
- Stay up-to-date with the latest advancements in machine learning and cloud technologies, identifying opportunities to enhance our platform and capabilities.
- Foster a culture of continuous improvement by implementing best practices in software development, testing, and deployment.
Does This Sound Like You
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering, with a strong foundation in data structures, algorithms, and object-oriented programming.
- 3+ years of experience building and deploying machine learning models in a production environment, preferably in the AdTech domain.
- Proven experience leading and managing engineering teams, with a track record of successful project delivery.
- Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, scikit-learn, and PyTorch.
- Expertise in building and deploying machine learning solutions on Google Cloud Platform (GCP), including experience with tools like BigQuery, Dataflow, and AI Platform.
- Excellent communication, interpersonal, and problem-solving skills.
Great to have:
- Experience with real-time bidding (RTB) systems and ad exchanges.
- Familiarity with data privacy and security regulations in the AdTech industry.
- Contributions to open-source projects or publications in relevant fields.
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.
