Machine Learning Engineer, Search

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, you will play a pivotal role in advancing our eCommerce platform by designing, developing, and implementing sophisticated machine learning models and algorithms. Your efforts will enhance customer experiences across our digital interfaces and contribute to our mission of setting new benchmarks in retail through innovative applications of AI and ML technologies.

What you'll do

• Develop and implement machine learning models and algorithms to solve complex business challenges.
• Collaborate with senior engineers and cross-functional teams to integrate ML solutions into various product features.
• Work with large datasets to identify trends, patterns, and insights that influence strategic decisions.
• Optimize ML models for scalability, performance, and reliability in production environments.
• Stay abreast of the latest advancements in AI/ML technologies and apply cutting-edge methods to enhance our systems.
• Engage in continuous learning and knowledge sharing to maintain technological leadership.
• Assist in code reviews, participate in technical design sessions, and support the development of junior engineers.
• Address and troubleshoot issues related to ML models and data pipelines.
• Communicate technical concepts effectively to non-technical stakeholders.
• Create and maintain detailed documentation for ML models and processes.

Does This Sound Like You?

• You have 3-5 years of experience in software development with a strong focus on machine learning.
• Proficient in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
• Skilled in programming languages like Python, Java, or similar.
• Experienced in data handling, preprocessing, and pipeline development, including SQL/NoSQL databases.
• Capable of analyzing large datasets and extracting meaningful insights.
• Knowledgeable about AI technologies, including Gen AI, LLMs, and semantic search.
• Understanding of security architecture and data privacy standards.
• You are an effective problem-solver with a passion for continuous innovation and learning.
• Excellent communication skills, with the ability to present technical information to diverse audiences.
• Enthusiastic about working in a team-oriented, collaborative environment.
• Open to new ideas and continually seeking better ways to achieve goals.

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.