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 Engineering Manager, you will be at the forefront of innovation, leading the design, development, and implementation of cutting-edge machine learning models and algorithms, including integration with LLMs and other GenAI tools. Your leadership will directly impact millions of Canadians, shaping the way they interact with search interfaces and ultimately enhancing their shopping experience.
In this role, you will oversee the development of advanced technologies such as Gen AI, LLMs, ML models, Vector search, semantic search, and semantic matching, constantly pushing the boundaries of what’s possible. You will guide your team in working with large datasets to identify trends and patterns that inform and improve search engine functionality. Your focus will be on evaluating and enhancing model performance using various metrics, ensuring the highest level of efficiency and accuracy. Staying abreast of the latest advancements in machine learning and related technologies is crucial, applying new knowledge to continually refine our solutions.
As a manager, you will cultivate a collaborative environment where your team's ideas are valued, and they are empowered to challenge assumptions and contribute to a dynamic atmosphere. You will work closely with cross-functional teams, data scientists, and software engineers, bringing diverse perspectives to the table to deliver groundbreaking solutions. Join us in shaping the future of search technology and making a significant impact on the shopping experience for millions of Canadians
What you'll do
- Cultivate a deep understanding of the portfolio of machine learning components we utilize, including AI, Gen AI, and LLMs, along with their respective strengths and weaknesses, to provide solutions to existing and future challenges.
- Lead the technical architecture for machine learning components and cross-functional ML teams, ensuring integration with advanced AI technologies.
- Define the long-term vision for your team, aligning with the company's strategic and tactical goals, with a focus on machine learning and AI initiatives.
- Translate project goals and product roadmaps into organized technical tasks, collaborating with other EMs to ensure alignment.
- Guide the team to improve our AI and ML components, ML Ops, and processes through your knowledge of industry trends and tools, along with your own experiences.
- Provide guidance and direction to the ML development team to remove obstacles and keep initiatives on target and moving forward.
- Coach and mentor developers in the team through technical design sessions, code reviews, and pair programming, with an emphasis on machine learning and AI practices.
- Provide technical guidance and support in resolving critical production issues, particularly those related to machine learning and AI.
- Collaborate with business and product stakeholders to successfully deliver new machine learning and AI features and capabilities.
- Construct design documents and documentation to aid in maintenance and code reuse, particularly for machine learning and AI systems.
- Have one-on-one meetings with your team members.
- Conduct performance reviews and set accountability for team members
Does this sound like you?
- Minimum of 5-7 years in software development, including substantial AI/ML experience.
- Several years in a leadership role, managing and mentoring teams of engineers and data scientists.
- Proven track record in managing complex projects, including planning, execution, and delivery.
- Experience working closely with product managers, data scientists, and other stakeholders.
- Deep understanding of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java).
- Strong knowledge of AI/ML concepts, including advanced technologies like Gen AI, LLMs, and semantic search.
- Expertise in data handling, preprocessing, and pipeline development, with proficiency in SQL/NoSQL databases.
- Ability to analyze large datasets, identify trends, and evaluate model performance using various metrics.
- Strong understanding of security architecture and data privacy regulations, ensuring compliance with industry standards.
- Ability to solve complex technical problems and drive innovation with a continuous learning mindset.
- Practical experience in the production implementation of high availability AI/ML systems, ensuring reliability and scalability.
- Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.
- Ability to adapt to changing technologies and business requirements, fostering a positive and inclusive team culture
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.
